skillfactor-pipeline/data/gated/computer-vision-engineer_relevant.json

[
 {
  "job_id": "waIO0B8Z2s55iOH2AAAAAA==",
  "title": "Mid AI Computer Vision Scientist",
  "employer": "Strategic ACI",
  "country": "us",
  "description": "Job Description\n\nStrategic ACI is seeking a Mid-Computer Vision Scientist to support AI/ML Test & Evaluation (T&E) activities for mission-focused national security programs. The Mid Computer Vision Scientist collaborates closely with AI/ML Test Engineers, data scientists, and development teams to evaluate computer vision models, assess model performance, and support operationally relevant testing activities across a range of mission scenarios.\n\nThis role applies technical expertise in computer vision, AI/ML model evaluation, and performance analysis to support the development and refinement of T&E tools, metrics, and methodologies. The scientist conducts technical reviews of evaluation frameworks and provides detailed feedback on model performance, limitations, and operational suitability to support mission-driven AI capability assessments.\n\nThe position supports MT&E initiatives and requires coordination with multidisciplinary technical teams operating in dynamic mission environments.\n\nSalary will be commensurate within the advertised range, based on applicable qualifications.\n\nResponsibilities:\n\nCollaborate with AI/ML Test Engineers and technical teams to evaluate computer vision models in operationally representative environments.\n\nUtilize T&E tools, metrics, and evaluation frameworks to assess model accuracy, performance, robustness, and operational effectiveness.\n\nConduct technical reviews of computer vision evaluation tools, methodologies, and performance metrics.\n\nAnalyze model outputs, identify performance limitations, and provide actionable technical feedback to development teams.\n\nSupport development and refinement of AI/ML T&E methodologies, evaluation criteria, and assessment approaches.\n\nProvide recommendations to improve model performance, evaluation workflows, and mission alignment.\n\nSupport parallel testing and evaluation efforts across multiple AI/ML models, datasets, and mission scenarios.\n\nContribute to technical reports, assessment findings, and customer briefings related to model evaluation outcomes.\n\nCoordinate with engineers, scientists, and mission stakeholders to support evolving operational requirements and testing priorities.\n\nQualifications:Required:\n\nActive TS/SCI clearance and the ability to pass a CI polygraph within 30 days.\n\nBachelor’s Degree in IT or STEM related field, or additional relevant experience in lieu of a degree.\n\n4+ years of experience supporting computer vision, AI/ML model evaluation, or data analysis initiatives.\n\nFamiliarity with AI/ML testing methodologies, evaluation metrics, and model performance assessment techniques.\n\nAbility to conduct technical analysis and provide detailed evaluation feedback in support of mission objectives.\n\nStrong analytical, problem-solving, and communication skills.\n\nDesired:\n\nExperience supporting DoD, NGA, or Intelligence Community programs.\n\nFamiliarity with operational AI/ML testing, mission-focused evaluation activities, and T&E environments.\n\nExperience working in Agile, DevSecOps, or cloud-based development environments.\n\nFamiliarity with computer vision frameworks, datasets, and operational AI workflows.\n\nExperience supporting multidisciplinary engineering and data science teams.\n\n,\n\nAbout Strategic ACI\n\nStrategic ACI is an Equal Opportunity Employer.\n\nIt has been and will continue to be a fundamental policy of Strategic ACI not to discriminate on the basis of race, color, creed, religion, gender, gender identity, pregnancy, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage or citizenship status, veteran or military status, disability, medical condition, genetic information, caregiver status, unemployment status or any other characteristic prohibited by federal, state and/or local laws.\n\nThis policy applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination. Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster.\n\nWhy choose a career with Strategic ACI?\n\nStrategic ACI believes that our greatest asset is our employees. Our goal is not to meet our staff’s expectations, but to exceed them. Competitive salaries, work-life balance, industry leading benefits packages, and family first values are at the core of Strategic ACI’s culture.\n\nWhere benefits meet your needs:\n\nCompetitive salary\n\n100% benefits paid (Includes: Health, Dental, and Vision premiums) for all full-time employees, and their families\n\n401(k) with 5% match vested at day one\n\nPTO – 3 weeks and 3 days per year, increasing at 5 years service\n\n11 Company Paid Holidays (aligned with Federal Government)\n\nLong term/Short term disability\n\n1.5x salary Life Insurance\n\n$100 per month Cellular Device and IT Resource Benefit\n\n$6,000 Cash in Lieu of Benefits per year, if employee is insured elsewhere\n\nTuition reimbursement of up to $5,250 per year for college or professional certifications\n\nRetirement Savings 401(k) Contribution - Annually calculated as percentage of salary"
 },
 {
  "job_id": "hOoDsNrNcIEpGX58AAAAAA==",
  "title": "Computer Vision AI Engineer",
  "employer": "Booz Allen Hamilton",
  "country": "us",
  "description": "Job Number: R0243369\n\nComputer Vision AI Engineer\n\nThe Opportunity:\n\nBooz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data.\n\nYou will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success.\n\nIn this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time.\n\nWhat You'll Work On:\n\n• Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.\n• Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python, C++, and Rust.\n• Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications.\n• Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.\n• Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust.\n\nJoin us. The world can’t wait.\n\nYou Have: \n\n• 7+ years of experience in sensor fusion and target tracking\n• Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM\n• Experience in artificial intelligence, data science, machine learning engineering, or software engineering\n• Secret clearance\n• Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) field\n\nNice If You Have: \n\n• Experience with embedded systems programming in C, C++, or Rust\n• Experience in GPU programming, including CUDA or RAPIDs\n• Experience with developing in-space solutions\n• Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment\n• TS/SCI clearance\n• Master’s degree in Computer Science, Artificial Intelligence, or a related field\n\nClearance:\n\nApplicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.\n\nCompensation\n\nAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.\n\nSalary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.\n\nIdentity Statement\n\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.\n\nCandidate AI Usage Policy\n\nAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.\n\nWork Model\n\nOur people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.\n\n• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.\n• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.\n• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.\n\nCommitment to Non-Discrimination\n\nAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law."
 },
 {
  "job_id": "ifXX6aTG-C20-lADAAAAAA==",
  "title": "Lead Software Engineer – Computer Vision & Automation (Transportation)",
  "employer": "Leidos",
  "country": "us",
  "description": "Lead Software Engineer – Computer Vision & Automation (Transportation)\n\nAre you interested in improving and shaping the transportation industry with a group of intelligent and motivated individuals?  Consider joining the Leidos team operating the Federal Highway Administration (FHWA)’s Saxton Transportation Operations Laboratory (STOL), a USDOT research lab focused on the improvement of transportation operations, safety, mobility, and environmental impacts.  STOL champions the integration of emerging technologies such as cooperative driving automation (CDA) and Vehicle-to-Everything (V2X) to revolutionize transportation.\n\nLocation: This role will be expected to work full-time at the customer site in McLean, VA\n\nLearn about STOL here: https://highways.dot.gov/turner-fairbank-highway-research-center/labs/STOL\n\nCandidates MUST:\n\nAll applicants must be legally authorized to work in the United States with proof of legal status and be eligible for a Public Trust Clearance which includes three consecutive years in the United States within the last five years.\n\nLeidos is seeking a Lead Software Engineer – Computer Vision & Automation (Transportation) to join a highly successful team in researching and developing Connected and Automated Vehicle (CAV) technologies to shape the future of transportation. We are looking for someone who is motivated by variety, thrives in a challenging environment, seeks professional growth, and will be a key part of a team developing and extending a variety of applications and components to improve results that impact the transportation industry.\n\nThe successful candidate will work with external organizations – including state and local Departments of Transportation (DOTs) – to identify how computer vision technologies can improve transportation safety and operations and to create business development opportunities in these areas. As new projects are created through these strategic partnerships, the successful candidate will lead these computer vision projects, which will aim to support and optimize the use of advanced transportation technologies such as intelligent transportation systems (ITS), CDA, C-V2X, CAV and AI-driven predictive modeling.\n\nPrimary Responsibilities:\n• Lead delivery of software and system components that incorporate object recognition and automation for transportation applications, ensuring solutions meet both technical requirements and compliance standards.\n• Serve as a technical lead on medium-to-large, complex projects in partnership with state and local Departments of Transportation (DOTs), providing oversight on design, development, and delivery.\n• Support business development, including proposal writing and client engagement.\n• Break down program and project-level requirements into actionable engineering tasks, supporting efficient execution by the development team.\n• Collaborate with program managers, contracting officers, and agency stakeholders to align technical solutions with mission objectives and regulatory frameworks.\n• Develop and maintain documentation, reporting artifacts, and deliverables required by contract and oversight authorities.\n• Mentor engineers in applying advanced technologies, automation practices, and secure development principles to government solutions.\n• Provide accurate cost, schedule, and performance estimates for development tasks.\n\nRequired Qualifications:\n• Master’s degree with 5 years of relevant experience; OR Bachelor’s degree with 7 years of relevant experience.\n• 5 years of experience with object recognition and automation in the transportation/automotive domain, including applied use in prototype and/or production systems with at least one of the following types of sensors: camera, lidar, and/or radar.\n• Hands-on expertise with programming languages such as Python, Java, or C .\n• Strong written and verbal communication skills with ability to collaborate across diverse teams.\n• Experience with at least one relational database management system (Oracle, MySQL, PostgreSQL, SQL Server, etc.).\n• Ability to work in a fast-paced, research-oriented environment with travel up to 10% for stakeholder engagement, testing, and site visits.\n• Ability to obtain and maintain a Public Trust clearance (which includes three years of immediate residency in the US).\n\nPreferred Qualifications:\n• Proven experience in business development, including identifying new market opportunities, building strategic partnerships, and driving portfolio/revenue growth.\n• Designing, training, and deploying computer vision models (e.g., YOLO, TensorFlow, PyTorch, Core ML, or OpenCV) for detection, classification, and tracking in real-world environments.\n• Implementing automation pipelines that integrate recognition systems into business or agency workflows, improving efficiency and accuracy.\n• Developing and optimizing algorithms for real-time recognition tasks across varied conditions (e.g., lighting, environmental, and sensor constraints).\n• Integrating recognition systems into larger enterprise or agency platforms, including dashboards, analytics tools, and decision support systems.\n• Working knowledge of Agile methodologies and development tools such as Jira, Bitbucket, and Confluence; Scrum Master certification is a plus.\n• Experience delivering complete systems or applications, preferably for state and local DOTs, the Federal Highway Administration (FHWA), and/or USDOT ITS Joint Program Office.\n• Self-motivated with a demonstrated ability to explore new tools, frameworks, and techniques.\n\nAnticipated salary range for this role is $95,000-$130,000\n\nCome break things (in a good way). Then build them smarter.\n\nWe're the tech company everyone calls when things get weird. We don’t wear capes (they’re a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for “how it’s always been done.”\n\nOriginal Posting:\nDecember 1, 2025\n\nFor U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.\n\nPay Range:\nPay Range $87,100.00 - $157,450.00\n\nThe Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law."
 },
 {
  "job_id": "5zPOOrgUSAELGjoSAAAAAA==",
  "title": "Space Computer Vision Engineer — AI-Driven Autonomy",
  "employer": "Anduril Industries",
  "country": "us",
  "description": "A leading defense technology firm is seeking a Computer Vision Engineer to join their team in Washington, DC. This role involves designing algorithms and systems for military applications in space, supporting cutting-edge technology initiatives. Applicants should have strong knowledge in machine learning, computer vision, and programming in C++. Compensation includes a salary range of $166,000—$220,000 USD along with comprehensive benefits. Join us in transforming military capabilities through advanced technology!\n#J-18808-Ljbffr"
 },
 {
  "job_id": "sD6B9p7u_efwNh8HAAAAAA==",
  "title": "Cleared Computer Vision Scientist",
  "employer": "Accenture Federal Services",
  "country": "us",
  "description": "At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.\n\nJoin Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.\n\nJoin us to drive positive, lasting change that moves missions and the government forward!\n\nThe work:\n\n• Develop, train, finetune and evaluate computer vision models in a wide range of topics, including geospatial, biometrics, 3D vision, semantic extraction, etc.\n• Deploy, maintain, and optimize ML models and data processes in a production environment \n• Develop custom Computer Vision (CV) algorithms that translate into mission value\n• Create tools to provide feedback from production ML models and data processes \n• Assist in the development and optimization of computer vision models using deep learning frameworks (e.g., PyTorch, TensorFlow).\n• Collaborate with other scientists and engineers to build and deploy models for tasks such as object detection, image segmentation, classification, and tracking\n• Stay up to date with the latest research and advancements in the field of computer vision and deep learning\n• Participate in data collection, preprocessing, and augmentation processes to ensure high-quality datasets\n• Conduct experiments, analyze results, and contribute to the improvement of model accuracy and efficiency\n• Assist in the integration of computer vision algorithms into production systems and applications\n• Document code, methodologies, and experimental results\n\nHere’s what you need:\n\n• Hands-on experience with computer vision libraries (e.g., OpenCV) and deep learning frameworks (e.g., PyTorch, TensorFlow)\n• Proficiency with programming languages such as Python, C/C++ or Rust\n• Strong understanding of CNNs, transformers and other advanced architectures and their applications in computer vision tasks\n• Strong analytical and problem-solving skills\n• Ability to work collaboratively in a team environment and take direction from senior team members\n• Hands-on experience with developing computer vision models at scale from inception to business impact\n• Design and develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches\n• U.S. Citizenship (No Dual citizenship)\n\nBonus points if you have: \n\n• Advanced Degree in computer science, technology, engineering, mathematics (STEM) related field, with Ph.D. preferred, but not required \n• Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC\n• Hands-on experience developing and deploying machine learning pipelines in AWS, Azure or GCP\n• Hands on experience deploying, maintaining, testing, and optimizing ML models and data platforms in a production environment \n• Hands-on experience with other image modalities (SAR, IR, HSI, Lidar, Sonar)\n\nSecurity Clearance:\n\n• Active Top Secret or TS/SCI or TS/SCI with polygraph Clearance\n\nAs required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.\n\nThe pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:\n\n$108,400—$203,400 USD\n\nWhat We Believe\n\nAs a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.\n\nEqual Employment Opportunity Statement\n\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.\n\nAccenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.\n\nRequesting An Accommodation\n\nAccenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.\n\nIf you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.\n\nOther Employment Statements\n\nApplicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.\n\nCandidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.\n\nJob candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.\n\nThe Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.\n\nCalifornia requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information."
 },
 {
  "job_id": "inwO_uQer6xK0nkuAAAAAA==",
  "title": "Applied Computer Vision Engineer ML, AI 🏆",
  "employer": "Vantor",
  "country": "us",
  "description": "Applied Computer Vision Engineer 💰 Salary: $185,000 - 228,000 per year\n\nAt Vantor we are looking for a ML, AI engineer!\n\n🛠️ Our tech stack:\nAI, AWS, Azure, Cloud, Cloud Foundry, Computer Vision, Docker, IBM, Support, Kubernetes, Linux, OpenShift, Python, Security, numpy, pandas, Machine-Learning\n\n📝 Rquirements:\n- We require U.S. citizenship and an active TS/SCI U.S. Government security clearance, with willingness to obtain a CI polygraph.\n- We require a bachelors degree in Data Science, Engineering, Math, Physics, Computer Science, Image Science, or a related discipline.\n- We look for 5+ years of experience developing, testing, and deploying computer vision models.\n- We need strong familiarity with deep learning methods for computer vision, such as YOLO, SSD, and DetectNet.\n- We expect proficiency with the Python data science ecosystem, including numpy, pandas, matplotlib, and sklearn.\n- We require experience with Python geospatial libraries such as gdal, geopandas, and shapely.\n- We look for hands-on experience with container platforms such as Docker, Kubernetes, OpenShift, or Cloud Foundry.\n- We require comfort working in Linux-based environments.\n- We need the ability to collaborate effectively with a geographically distributed team.\n- We require occasional travel to government locations for customer meetings and demonstrations.\n- We expect excellent communication skills, demonstrated through technical writing and public speaking.\n- We value strong organizational ability and exceptional attention to detail.\n- Preferred qualifications include an advanced degree in a relevant technical or scientific field.\n- Preferred experience includes image generation models and platforms such as Stable Diffusion and Hugging Face.\n- Preferred background includes synthetic training data creation.\n- Preferred experience includes cloud platforms such as AWS or Azure and AI/ML integrations like SageMaker or IBM Watson Studio.\n- Preferred experience includes remote sensing, GEOINT datasets, and government collection systems.\n\n👩‍💻👨‍💻 Your responsibilities are:\n- We experiment with novel computer vision models applied to commercial and government GEOINT data.\n- We design, build, and deploy multiple components of the computer vision pipeline, including preprocessing, inferencing, and data storage.\n- We explore how synthetic data and generative AI outputs can be used with GEOINT data.\n- We perform data engineering to convert diverse data types for different stages of the AI/ML workflow.\n- We stay current on advances in computer vision from industry and academia and apply relevant innovations to customer mission challenges.\n- We brief internal teams on delivery status, evaluation findings, and project obstacles.\n\nView this job and over 500 other transparent jobs with salaries (💰💰💰) & tech stacks (🛠️) on DevITJobs\n\nCategory: ML, AI Developer / Engineer\nLocation address: Elden Street 733, Arlington, United States\n\nSalary: $185,000 - 228,000 per year\n\nBenefits & perks that we offer:\n\nVantor - More about us and the role:\nWe are Vantor, where we are building the next frontier of spatial intelligence to help decision makers and operators understand what is happening now and prepare for what comes next. We offer a mission-driven environment for problem solvers and changemakers who want to make an impact. This role supports mission-critical GEOINT and computer vision work, and it requires U.S. citizenship plus an active TS/SCI clearance. The base salary range for this position is $185,000 to $228,000 depending on experience, qualifications, skills, and location. We also provide a competitive total rewards package that includes a robust 401(k) match, mental health support, student loan repayment assistance, adoption reimbursement, and pet insurance. We are an equal opportunity employer committed to an inclusive workplace where all qualified applicants are considered fairly.\n\nAre you looking for ML, AI jobs in Arlington?"
 },
 {
  "job_id": "EYHM3aY9X8jpuryRAAAAAA==",
  "title": "Computer Vision Engineer",
  "employer": "Pangram",
  "country": "us",
  "description": "About the Role\n\nPangram Labs is hiring a Computer Vision Engineer to build and ship the multimodal AI detection systems at the core of our product. You'll own models end to end - from data and training through deployment, serving, and monitoring in production - to build the most accurate AI detection software in the industry.\n\nYou'll train deep learning models that reliably identify AI-generated images, then take responsibility for getting them into production and keeping them performant, reliable, and continuously improving against an adversarial, fast-moving threat landscape. This is an engineering-first role: research is part of the work, but the job is measured by what ships and how well it runs at scale.\n\nResponsibilities\n• Train large-scale deep learning models to detect AI-generated content, and own the full lifecycle: data pipelines, training, evaluation, deployment, monitoring, and retraining\n• Build and operate the production systems that serve detection models - inference services, batch pipelines, and the infrastructure behind them - with attention to latency, throughput, cost, and reliability\n• Design evaluation and monitoring pipelines that catch model regressions and detect drift as new generative models emerge\n• Build infrastructure for synthetic dataset creation and large-scale data processing\n• Improve model accuracy, robustness, and efficiency through experimentation grounded in production metrics\n• Work with engineering and product teams to translate models into shipped product features, and share results with technical and non-technical audiences through documentation, whitepapers, and blog posts\n\nRequirements\n• 3-5+ years of experience building and deploying ML systems in production, and/or a Ph.D. in AI, Machine Learning, Computer Vision, or a related area\n• A strong engineering track record: shipping production code, deploying models, and building reliable systems. This can be demonstrated through significant contributions to AI products in industry, or through first-author publications at major AI/CV venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.)\n• Experience training neural networks in PyTorch at scale, including distributed training\n• Experience with AI infrastructure and distributed systems - model serving, pipelines, and the tooling required to run models in production\n• Deep understanding of generative image models (diffusion models, GANs, autoregressive image models) and how they work\n• Solid understanding of neural networks for video, audio, time series, and signal processing\n• Familiarity with recent technical developments in LLMs\n\nNice to have\n• Experience with MLOps tooling, CI/CD for ML, or model observability and monitoring at scale\n• Experience or publications in image forensics or deepfake detection\n• Experience with synthetic data, adversarial robustness, or interpretability\n\nWhat we offer\n• Salary Range: $230,000-$260,000 per year\n• Competitive equity\n• Healthcare benefits\n• Free lunch at the office"
 },
 {
  "job_id": "W9Bqfc3vGTE-CZJ9AAAAAA==",
  "title": "TS206 Computer Vision Engineer",
  "employer": "Warriors Solutions",
  "country": "us",
  "description": "Position Title: Senior Computer Vision Engineer\nRequisition ID: TA206\nLocation: Remote\nApplication Deadline: We are accepting applications on an ongoing basis\n\nWho We Are\nTrusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation's defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure.\n\nOur Culture\nAs a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges.\n\nJob Description\nTrusted Space is seeking a Senior Computer Vision Engineer with a bachelor's degree or higher and 8+ years of experience to help build the next generation of battlespace awareness capabilities. You will work alongside a small dynamic team of aerospace and software engineers.\n\nKey Responsibilities\n• Technical Execution Leadership: Lead the technical execution of computer vision programs ensuring high-quality model development, testing, and deployment.\n• Strategic Technical Planning: Develop and maintain computer vision technical roadmaps including guiding architecture, algorithm selection, and implementation decisions. Additionally, define work scope packages and milestones, and prioritize feature and capability needs in partnership with program leadership and stakeholders.\n• Lead Model Development: Lead the design, training, and evaluation of computer vision models for detection, identification, classification, and segmentation. Implement models using modern deep learning architectures and frameworks. Optimize models for performance, robustness, and deployment constraints.\n• Lead Dataset curation: Ingest, clean, annotate, and audit terabytes of optical-sensor imagery to guarantee label fidelity and domain relevance for every model-training run.\n• Research & Innovation: Research and evaluate cutting-edge computer vision models, architectures, and approaches. Prototype and test new algorithms to improve system performance.\n\nQualifications\n• United States citizenship required\n• Bachelor's degree in Imaging Science, Computer Science, Computer Vision, or related field\n• 8+ years of experience in Computer Vision\n• 4+ years of experience leading technical teams to include agile software development methodology, developing technical roadmaps, scoping technical requirements, and features\n• Strong Proficiency in Python, C++, or other relevant languages\n• Experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn\n• Strong foundation in mathematics, statistics, and linear algebra\n• Ability to identify and solve complex problems related to imagery analysis\n• Presenting technical choices and trade-offs to executives and non-technical clients\n• Ability to effectively communicate technical information to executives and non-technical audiences\n\nDesired Skills\n• Master's or PhD degree in Imaging Science, Computer Vision, or Computer Science\n• Experience developing image processing for spacecraft, missile, aircraft, hypersonic glide vehicle, and/or drone detection\n• Experience with modern ML training libraries such as PyTorch Lightning, MLflow, and RayTune\n• Experience designing and training multi-task neural networks that jointly predict segmentation, detection, classification, and motion vectors\n• Experience building and designing modern architectures such as CNNs and Vision Transformers\n• Experience with data analysis tools and techniques such as JupyterLab, Napari, and Monai, and convey complex results\n• Experience with modern offline data labeling techniques\n• Active TS/SCI clearance or eligibility to obtain one\n\nSalary Range: The salary range for this role is $160,000 - $215,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations.\n\nBenefits: Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life balance.\n\nTrusted Space, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, disability status, or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and business need.\n\nDISCLAIMER: Trusted Space, LLC only uses the respective domains of trustedspace.com and trustedspace.us for official contact and any other domains are likely a scam and do not originate from our company. Trusted Space will never ask a candidate for access or pass codes to personal accounts including e-mails, bank accounts, CashApp, Paypal, Venmo, etc."
 },
 {
  "job_id": "TU6EeOGZ9rffNlO8AAAAAA==",
  "title": "Senior Robotics Perception & AI Engineer Real-Time Vision",
  "employer": "AES Corporation",
  "country": "us",
  "description": "AES Corporation in Arlington, Virginia is searching for a Senior Robotics Perception and AI Engineer to develop and optimize advanced perception and AI algorithms. This role focuses on enabling robotic systems in solar module installations to interact with their environment effectively.\n\nApplicants should have a strong background in computer vision and robotics, with a minimum of 5 years' experience in the field and a graduate degree. The position involves travel and offers a dynamic work environment."
 },
 {
  "job_id": "z0CLmi44nxvg2sEcAAAAAA==",
  "title": "Senior Computer Vision Engineer",
  "employer": "ManTech",
  "country": "us",
  "description": "MANTECH seeks a motivated, career and customer-oriented Senior Computer Vision Engineer to join our AI innovation team in Ashburn, VA. This is currently a hybrid position with two days onsite and three days remote.\n\nEach day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of solutions to aid officers in detecting threats while promoting efficient trade and travel.\n\nResponsibilities include but are not limited to:\n\n+ Design, develop, and implement highly efficient computer vision algorithms and software primarily using Python and relevant libraries (e.g., OpenCV, NumPy, scikit-image).\n\n+ Apply deep learning techniques (e.g., CNNs, RNNs, Transformers) for object detection, segmentation, tracking, and recognition using frameworks like TensorFlow or PyTorch.\n\n+ Perform comprehensive image preprocessing and augmentation on large datasets of both 2D (standard images/video/X-rays) and 3D (e.g., volumetric data) data.\n\n+ Develop and optimize biometric recognition systems (face, iris, fingerprint) and integrate with predictive modeling pipelines for risk scoring and anomaly detection.\n\n+ Lead the integration and successful deployment of trained models into production environments (e.g., cloud, edge devices). Develop and optimize models for real-time inference and efficiently handle large-scale data processing pipelines.\n\n+ Research, evaluate, and benchmark new computer vision technologies and academic advancements to maintain a competitive edge.\n\n+ Collaborate with cross-functional teams (e.g., Software Engineering, Data Science) to integrate vision systems into final products.\n\nMinimum Qualifications:\n\n+ HS Diploma/GED and 15-20 years, AS/AA and 13-18 years, BS/BA and 7+ years or MS/MA/MBA and 5+ years or PhD/Doctorate and 3+ years.\n\n+ Expertise with deep learning frameworks (PyTorch, TensorFlow, Keras) and computer vision libraries (OpenCV, SimpleITK, ITKm VTK).\n\n+ Demonstrated ability in image preprocessing techniques, including filtering, noise reduction, feature extraction, and handling various image formats.\n\n+ Hands-on experience with productionizing models, including optimizing for inference speed, containerization (e.g., Docker), and cloud deployment platforms (e.g., AWS, Azure, GCP).\n\n+ Proven track record with 2D/3D imaging analysis: reconstruction segmentation, detection, and volumetric modeling.\n\n+ Proficiency in Python and C++, with strong understanding of high-performance computing and GPU acceleration.\n\n+ Experience with biometric recognition algorithms and predictive analytics pipelines.\n\nPreferred Qualifications:\n\n+ Experience with X-ray CT reconstruction algorithms, 3D-point cloud analysis and multimodal data fusion.\n\n+ Experience with GPU-based infrastructure and performance optimization\n\n+ Experience with MLOps principles and tools for automated model training, testing, and deployment.\n\n+ Knowledge of specific computer vision application areas such as robotics, augmented reality (AR), or industrial inspection.\n\n+ Familiarity with various camera technologies and sensor data acquisition.\n\nClearance Requirements:\n\n+ Must be a U.S. Citizen and be able to obtain and maintain a CBP suitability.\n\nPhysical Requirements:\n\n+ The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.\nMANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.\n\nIf you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.\n\nSkills:\n3D Modeling, Accounts Receivable, Algorithms, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Benchmarking, Business Administration, C++ Programming Language, Cloud Computing, Computer Vision, Cross-Functional, Customer Relations, Cyberspace, Data Fusion, Data Management, Data Processing, Data Science, Data Sets, Deep Learning, Docker, Face Recognition, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Microsoft Windows Azure, Noise Reduction, Office Equipment, People Management, Performance Tuning/Optimization, Physical Demands, Predictive Modeling, Presentation/Verbal Skills, Production Systems, Python Programming/Scripting Language, Radiography, Risk Modeling, Robotics, Software Engineering, System Integration (SI), Training Tools, United States Citizen, United States Customs\n\nAbout the Company:\nManTech"
 },
 {
  "job_id": "qqGrTvx6uqW6e_nvAAAAAA==",
  "title": "(US) Edge AI Architect- CUDA / C++ / Computer Vision",
  "employer": "Codvo.ai",
  "country": "us",
  "description": "Edge AI Architect – CUDA / C++ / Computer Vision\nExperience Level: 10+ Years\n\nDepartment: Edge AI & Embedded Systems\n\nAbout the Role:\nWe are looking for a highly motivated and technically proficient Edge AI Engineer with a strong background in Edge AI devices, computer vision algorithms, and AI model deployment in the MedTech domain. This role is pivotal in developing and optimizing AI-powered medical devices that operate at the edge, ensuring performance, reliability, and compliance with healthcare standards.\nKey Responsibilities:\n• Design, develop, and optimize AI models for deployment on Edge AI devices in medical applications.\n• Implement and evaluate computer vision algorithms for real-time video and image analysis.\n• Collaborate with cross-functional teams to integrate AI solutions into embedded systems and medical devices.\n• Ensure compliance with SaMD classification, regulatory standards, and quality processes.\n• Document design specifications, test protocols, and validation reports in accordance with regulatory requirements.\n• Communicate technical findings and project updates effectively to stakeholders.\nRequired Qualifications:\n• Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Biomedical Engineering, or related field.\n• 8+ years of experience in AI engineering, preferably in medical devices or healthcare technology.\n• Strong experience with Edge AI hardware platforms (e.g., NVIDIA Jetson, Google Coral, Intel Movidius).\n• Strong experience in CUDA, C++ writing drivers with contract manufactured Edge AI devices with custom GPU configuration.\n• Proficiency in computer vision frameworks (e.g., OpenCV, TensorFlow, PyTorch) and model optimization tools.\n• AI/ML Acumen (Crucial) Required: Strong LLM, RAG, agentic architecture understanding.\n• Understanding of SaMD regulations,"
 },
 {
  "job_id": "ht2de82s-Tg_UjM6AAAAAA==",
  "title": "Senior Computer Vision Engineer - Remote, Lead ML & Vision",
  "employer": "Warriors Solutions",
  "country": "us",
  "description": "Warriors Solutions is looking for a Senior Computer Vision Engineer based in Chantilly, Virginia. This role requires a bachelor’s degree and 8+ years of experience in Computer Vision. Responsibilities include leading the design and evaluation of models, developing technical roadmaps, and solving complex problems in imagery analysis. Competitive compensation ranges from $160,000 to $215,000, with a set salary of $185,000 per year. The position also includes comprehensive benefits such as medical, dental, and vision plans. #J-18808-Ljbffr"
 },
 {
  "job_id": "d3y8JhcaIvqGBzdgAAAAAA==",
  "title": "Defense ML/Computer Vision Engineer — TS/SCI Clearance",
  "employer": "Expedition Technology",
  "country": "us",
  "description": "Expedition Technology (EXP) in Herndon, Virginia is seeking a skilled professional to develop and optimize machine learning and computer vision models for the Intelligence Community and Department of Defense. The role emphasizes collaboration across multidisciplinary teams to transform research into deployable solutions.\n\nIdeal candidates should have experience in machine learning, algorithm development, and a willingness to contribute to impactful technology that supports national security."
 },
 {
  "job_id": "0wvXvHSP5b-dlRn6AAAAAA==",
  "title": "TS/SCI Cleared Computer Vision Engineer - GEOINT",
  "employer": "Vantor",
  "country": "us",
  "description": "Vantor in Herndon, Virginia is seeking an experienced Computer Vision Engineer with expertise in deep learning methods and a strong Python background. The role involves designing and deploying computer vision models, working with geospatial data, and collaborating with distributed teams. Candidates should have a Bachelor's degree in a related field and at least 5 years of relevant experience. The position offers a competitive salary ranging from $185,000 to $228,000, along with comprehensive benefits including a robust 401(k) match and mental health resources. #J-18808-Ljbffr"
 },
 {
  "job_id": "RmhJ_aUlB1-zoSQvAAAAAA==",
  "title": "Image & Vision AI Engineer - Hybrid, Multimodal Geolocation",
  "employer": "Babelstreet",
  "country": "us",
  "description": "Babelstreet is looking for an Engineer on their Image & Computer Vision AI team in Reston, VA. You will be pivotal in developing computer vision capabilities that support intelligence applications, focusing on real-world mission-driven problems.\n\nThis hybrid role involves building systems for facial matching, object detection, and multimodal AI integrations. The ideal candidate will have 3+ years in computer vision and strong Python skills. Benefits include comprehensive health coverage, retirement plans, and unlimited flexible leave.\n#J-18808-Ljbffr"
 },
 {
  "job_id": "YzGKJXfoF3hmZCx1AAAAAA==",
  "title": "Data Scientist/ML Engineer (GEOINT/Computer Vision) VAWFH",
  "employer": "ChatGPT Jobs",
  "country": "us",
  "description": "Job Description\n\nJob Information\n\nMachine Learning (ML) Engineer\n\nLocation: Reston, VA\n\n• Remote\n\nData Management\n\nClearance Level: TS/SCI\n\nUS Citizenship: Required\n\nJob Classification: Regular, Full-Time\n\nYears of Experience: 5-7 Years\n\nEducation Level: Bachelor's or Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.\n\nJob Summary\n\nGITI is seeking an experienced Machine Learning (ML) Engineer to research, develop, architect, and integrate ML models and algorithms. Responsibilities include analyzing large datasets, performing data preprocessing and cleansing, ensuring data integrity, designing and developing ML models for tasks like detection of AI-generated imagery, and applying pattern recognition to uncover insights. The role requires critical thinking, creativity, and the ability to communicate research findings effectively. The candidate will collaborate with internal teams and external partners, bridge research and operations, and integrate advanced algorithms into operational workflows using NGA data and environments.\n\nCivil Engineering\n\nRequired Skills\n\n• 3+ years of experience in machine learning / computer vision / data science\n• Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow)\n• Experience with image and/or video data\n• Ability to understand and implement research-level algorithms from technical papers\n• Experience with model evaluation, validation, and performance analysis\n• Familiarity with Linux-based environments and version control systems (e.g., Git)\n\nDesired Skills\n\n• Experience with image forensics, deepfake detection, or GEOINT-related analytics\n• Experience working with DoD / IC programs or classified environments\n• Familiarity with containerization (Docker) and deployment pipelines\n• Experience handling large-scale or multi-format datasets\n• Knowledge of adversarial robustness, synthetic data generation, or explainable AI\n\nCompany: Global InfoTek, Inc."
 },
 {
  "job_id": "0Q-Fll5AAvclF1WGAAAAAA==",
  "title": "Computer Vision Engineer — Industrial Robotics (On-site)",
  "employer": "Closed Loop Partners, LLC.",
  "country": "us",
  "description": "Closed Loop Partners, LLC. in Sterling, VA seeks a seasoned professional for a full-time role in computer vision. The successful candidate will drive the architecture and deployment of advanced vision systems, mentor junior engineers, and collaborate with a diverse engineering team. Requirements include 5+ years in computer vision, proficiency in Python and C++, and experience with machine learning libraries. This position emphasizes robust communication and technical mentorship skills within a dynamic team environment.\n#J-18808-Ljbffr"
 },
 {
  "job_id": "iIn2EBynvQjtJcFPAAAAAA==",
  "title": "Senior Computer Vision Engineer ID72408",
  "employer": "Vusion",
  "country": "us",
  "description": "AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.\n\nWHY JOIN US\n\nIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!\n\nABOUT THE ROLE\n\nWe are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.\n\nWHAT YOU WILL DO\n\n• Own the applied model development process across computer vision, AI/ML, and broader data science use cases;\n• Translate complex business problems into viable, practical, and scalable AI/ML solutions;\n• Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;\n• Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;\n• Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;\n• Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.\n\nMUST HAVES\n\n• You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;\n• 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;\n• Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);\n• Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);\n• Strong, production-level proficiency in Python;\n• Deep hands-on experience with leading deep learning frameworks, specifically PyTorch and/or TensorFlow;\n• Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;\n• Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);\n• Upper-intermediate English level.\n\nNICE TO HAVES\n\n• Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;\n• Familiarity with deploying models on edge devices;\n• Strong understanding of how physical and real-world constraints impact data quality, model training, and inference.\n\nPERKS AND BENEFITS\n\n• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.\n• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.\n• Exciting projects: Modern solutions with Fortune 500 and top product companies.\n• Flextime: Flexible schedule with remote and office options."
 },
 {
  "job_id": "_tYE_rrqIVFS_qS-AAAAAA==",
  "title": "Computer Vision Engineer",
  "employer": "SR2 | Socially Responsible Recruitment | Certified B Corporation™",
  "country": "us",
  "description": "Overview This SR2 | Socially Responsible Recruitment | Certified B Corporation™ position includes the base pay range. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $180,000.00/yr - $200,000.00/yr Direct message the job poster from SR2 | Socially Responsible Recruitment | Certified B Corporation™ Connecting top Embedded, Electronics, and Design Engineering talent with the world’s leading Autonomous Systems companies. Company Overview We are a U.S.-based autonomous systems company developing cutting-edge unmanned vehicles for government and commercial applications. Our platforms leverage advanced AI, machine learning, and computer vision to deliver real-time perception, navigation, and situational awareness in complex environments. Team - Perception & Autonomy The Perception & Autonomy team builds the algorithms that allow unmanned vehicles to see, understand, and react to the world. The team works on real-time object detection, tracking, sensor fusion, and autonomous navigation, integrating software across multiple vehicle platforms and sensor types. Role - AI/ML Computer Vision Engineer We are seeking a highly skilled AI/ML Computer Vision Engineer to design, develop, and deploy advanced perception algorithms for autonomous vehicles. You will work on cutting-edge computer vision and machine learning systems, contributing to both research and operational deployment. Location: On-site, Washington, D.C. Key Responsibilities Design, implement, and optimize computer vision and ML algorithms for object detection, classification, tracking, and scene understanding. Integrate perception algorithms with autonomous vehicle platforms, including sensor fusion pipelines (LiDAR, radar, cameras). Develop and maintain datasets, training pipelines, and evaluation metrics for ML models. Work closely with vehicle systems and software teams to ensure reliable, real-time performance. Contribute to research and prototyping of novel perception and autonomy methods. Participate in testing, validation, and simulation campaigns to evaluate algorithm performance in realistic environments. Document methodologies, results, and operational guidance for software deployment. Present technical results to cross-functional teams and stakeholders. Required Qualifications Bachelor’s or higher in Computer Science, Robotics, Electrical Engineering, or a related field. 5+ years of experience in computer vision, AI, or machine learning applied to real-world systems. Strong proficiency in Python and/or C++ for ML/vision applications. Experience with deep learning frameworks (TensorFlow, PyTorch, or equivalent). Expertise in classical and modern computer vision techniques (object detection, tracking, segmentation). Experience with point cloud processing and 3D perception (LiDAR, radar, depth sensors) is a plus. Familiarity with ROS, autonomous vehicle software stacks, or real-time systems. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Qualifications Advanced degree (MS/PhD) in relevant field. Experience with embedded ML, edge computing, or GPU-accelerated deployment. Knowledge of sensor calibration, SLAM, or multi-sensor fusion pipelines. Prior experience in defense, robotics, or autonomous vehicle systems Seniority level Mid-Senior level Employment type Full-time Job function Industries: Aviation and Aerospace Component Manufacturing This description reflects the current status of the role. EEO statements and similar legally required notices may apply. #J-18808-Ljbffr\n\nSalary: USD 108000 - 120000 per year\n\nExperience: 5 years required"
 },
 {
  "job_id": "ZB4r6gqTeT80g5NXAAAAAA==",
  "title": "Computer Vision Engineer-Edge",
  "employer": "Viatouch Media inc",
  "country": "us",
  "description": "About the Role\n\nVICKI is an AI-powered IoT self-checkout company backed by one of the world’s largest payment providers. We’re hiring an immediate Senior Computer Vision Engineer to own a major platform upgrade: moving from a Raspberry Pi-based CV stack to GPU-accelerated Jetson Orin—and specifically delivering a production-ready 2–4 camera vision system inside the Vicki AI Machine.\n\nThis is an end-to-end role: multi-camera video pipelines → dataset strategy → model training → edge optimization (TensorRT) → production reliability.\n\nWhat You’ll DoMulti‑camera (2–4 camera) ownership on Jetson Orin\n\n• Lead production computer vision pipelines running on Jetson Orin (JetPack-based Linux environment).\n\n• Build and stabilize a 3–4 camera capture + inference pipeline suitable for real-time retail use.\n\n• Drive practical multi-camera readiness:\n\n• Field-of-view coverage and camera placement tradeoffs\n\n• Calibration concepts (intrinsics/extrinsics), lens distortion handling, alignment checks\n\n• Multi-stream handling (throughput, dropped frames, pipeline stability)\n\nComputer vision + machine learning (retail-first)\n\n• Research, design, train, and ship object detection + tracking models for retail environments:\n\n• SKU / product recognition, multi-item scenes, occlusions\n\n• Glare/reflective packaging, variable lighting, crowded bins/shelves\n\n• Own dataset evolution:\n\n• Collection strategy designed around multi-camera coverage and real failure modes\n\n• Labeling specs, QA processes, augmentation, hard-negative mining\n\n• Active learning loops based on production misses and edge cases\n\n• Benchmark models for accuracy + robustness + speed, and define acceptance criteria for rollout.\n\nEdge deployment + performance engineering\n\n• Convert and optimize models for embedded deployment:\n\n• ONNX export and runtime considerations\n\n• TensorRT optimization (FP16/INT8 where appropriate)\n\n• Improve throughput/latency/thermals/reliability for long-running production operation.\n\n• Troubleshoot production issues spanning camera feeds, inference services, tracking behavior, and device constraints.\n\nLeadership\n\n• Mentor CV engineers and collaborate cross-functionally (embedded, backend, product, ops).\n\n• Set standards for code quality, experimentation hygiene, reproducibility, and production readiness.\n\nRequired Qualifications\n\n• MS or PhD in Computer Science, Electrical Engineering, or related field with strong focus in computer vision / deep learning / machine learning (or equivalent practical experience).\n\n• 4+ years professional experience in Deep Learning / Computer Vision / Machine Learning with production responsibility.\n\n• Retail CV experience (required): hands-on experience training object detection models on retail products/objects (e.g., consumer packaged goods, SKU-level recognition, shelf/bin/basket scenes), including dataset design and iteration based on real-world failures.\n\n• Embedded/Edge experience: 1+ year deploying CV/ML to embedded devices, including performance constraints and production troubleshooting.\n\n• Proven ability to take models from training → deployment → evaluation → iteration in real environments.\n\nRequired Technical SkillsProgramming\n\n• Python (3.x) — training, experimentation, tooling, and/or production services\n\n• C++ (C++14/17) — performance-critical inference/pipeline code on-device\n\n• GPU fundamentals (CUDA-enabled stacks) — can reason about bottlenecks and optimize for GPU deployment on Jetson-class devices\n\n(You don’t need to write custom CUDA kernels daily, but you must be effective optimizing in a CUDA-enabled environment.)\n\n• Bash / Linux shell — device-level debugging, profiling, automation\n\nFrameworks / Tooling\n\n• PyTorch and/or TensorFlow (PyTorch strongly preferred)\n\n• OpenCV\n\n• TensorRT, ONNX (conversion + runtime considerations)\n\n• Linux (Ubuntu-based stacks common for Jetson)\n\n• Git\n\nPreferred (Strong Pluses)\n\n• Direct Jetson Orin / Xavier deployment experience + JetPack familiarity\n\n• DeepStream and/or GStreamer for real-time multi-stream video pipelines\n\n• YOLO-family, transformer-based detectors, lightweight/mobile architectures\n\n• Multi-object tracking (DeepSORT/ByteTrack-style) and real-world tuning\n\n• MLOps / experiment tracking / dataset versioning (W&B, MLflow, DVC, or equivalent)\n\n• Experience building systems robust to packaging changes, planogram drift, glare, motion blur, and occlusions\n\nBenefits\n\n• 401(k)\n\n• Health insurance\n\n• Dental insurance\n\n• Vision insurance\n\n• Paid time off\n\n• RSUs\n\nJob Type: Full-time\n\nPay: $88,294.67 - $135,000.00 per year\n\nBenefits:\n\n• Dental insurance\n\n• Employee stock purchase plan\n\n• Gym membership\n\n• Health insurance\n\n• Professional development assistance\n\n• RSU\n\n• Stock options\n\n• Tuition reimbursement\n\nWork Location: In person"
 },
 {
  "job_id": "RNYLLl1UJ7cRmqA8AAAAAA==",
  "title": "Defense ML/Computer Vision Engineer TS/SCI Clearance",
  "employer": "Expedition Technology",
  "country": "us",
  "description": "Expedition Technology (EXP) in Herndon, Virginia is seeking a skilled professional to develop and optimize machine learning and computer vision models for the Intelligence Community and Department of Defense. The role emphasizes collaboration across multidisciplinary teams to transform research into deployable solutions. Ideal candidates should have experience in machine learning, algorithm development, and a willingness to contribute to impactful technology that supports national security. #J-18808-Ljbffr"
 },
 {
  "job_id": "acK8_T_UBE7OhdUrAAAAAA==",
  "title": "Cleared Junior Software Engineer, Computer Vision",
  "employer": "Vets Hired",
  "country": "us",
  "description": "Position Overview\n\nCleared Junior Software Engineer, Computer Vision\n\nKey Responsibilities\n\n• Under general supervision, develop, integrate, and maintain cloud-based image processing pipelines and infrastructure that process satellite imagery at scale in a cloud environment\n\n• Develop test scripts and frameworks to verify and validate functionality\n\n• Maintain existing capabilities deployed to customer facilities and cloud environments including debugging and updating to keep pace with the evolving environment and technology\n\n• Understand customer, user, and operational requirements and implement new functionality into software products\n\n• Document and communicate highly technical concepts effectively to technical and non-technical audiences in a clear and effective manner\n\n• Communicate with management, customers, developers, and users\n\n• Work directly with internal and external developers to transition applications into the computer vision platform\n\n• Maintain the strict confidentiality of sensitive information\n\n• Observe all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company\n\n• Work in a safe manner in accordance with established operating procedures and practices\n\n• Perform other duties as assigned\n\nRequired Qualifications\n\n• Ability to transfer and maintain a Top Secret security clearance with SCI eligibility and a CI poly is required.\n\n• Bachelor's degree in Computer Science, Information Systems, or related discipline. May substitute equivalent experience in lieu of education.\n\n• Strong experience with cloud-based technologies, including AWS or Azure\n\n• Experience with software development lifecycle and use of associated tools\n\n• Linux\n\n• Proficient programming skills in languages such as Java, Python, Scala, Go, Rust\n\n• An understanding of formal software engineering principles including design, documentation, ticketing systems, version control and Agile methodologies\n\n• Must possess the ability to understand new concepts quickly and apply them accurately throughout an evolving requirement\n\n• Good analytical skills and problem-solving skills\n\n• High level of self-initiative and self-motivation\n\n• Ability to work effectively in small team settings to solve complex problems\n\n• Good organization, communication, decision making, presentation, and interpersonal skills\n\n• Customer focused, formulates plans based on the development of innovative new designs in resolving advanced software development problems\n\n• CompTIA Security+ or willingness to get certified"
 },
 {
  "job_id": "N9BwwglSXMCK_uI5AAAAAA==",
  "title": "Senior Geospatial Computer Vision Engineer (TS/SCI)",
  "employer": "Vantor Inc.",
  "country": "us",
  "description": "Vantor Inc. is seeking a Computer Vision engineer in Herndon, Virginia. This role involves working with geospatial intelligence data, developing and deploying CV models, and collaborating with a distributed team. You will need a B.S. degree in a relevant field, along with five years of experience in the CV domain. The position offers a competitive salary between $185,000 and $228,000, along with a range of benefits, including a robust 401(k) and unique perks like student loan assistance. #J-18808-Ljbffr"
 },
 {
  "job_id": "DdTEx7Ljbi5TWh4UAAAAAA==",
  "title": "Senior Computer Vision Engineer Remote & Flexible Hours",
  "employer": "AgileEngine",
  "country": "us",
  "description": "AgileEngine, LLC. is seeking a Senior Computer Vision Engineer to lead applied model development in machine learning and computer vision. You will work on cutting-edge solutions for object detection and image segmentation using frameworks such as PyTorch and TensorFlow.\n\nThe ideal candidate should have 3 to 5 years of relevant experience, a degree in a related field, and strong proficiency in Python. This role includes competitive compensation and flexibility in work hours, with options for remote and onsite work."
 },
 {
  "job_id": "4qdvhRCKWgYzyKohAAAAAA==",
  "title": "Senior Research Engineer - Computer Vision & Geospatial AI",
  "employer": "Novateur Research Solutions",
  "country": "us",
  "description": "Senior Research Engineer – Computer Vision & Geospatial AI\n\nNovateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.\n\nWe are seeking a Senior Research Engineer to lead R&D efforts in computer vision and spatiotemporal reasoning. You will architect solutions that merge machine learning, sensor fusion, and geospatial analytics for real-world systems.\n\nResponsibilities:\n\n• Lead development of AI systems for multi-camera tracking, geo-localization, and scene reasoning.\n\n• Design cloud architectures for scalable ML pipelines.\n\n• Mentor junior engineers and collaborate across teams.\n\n• Contribute to publications, proposals, and technical leadership.\n\nRequirements:\n\n• MS or PhD in Computer Science, Electrical Engineering, or related discipline.\n\n• Proven expertise in deep learning, computer vision, or spatiotemporal data modeling.\n\n• Experience leading technical efforts from concept to deployment.\n\n• U.S. Citizen or Permanent Resident.\n\nPreferred:\n\n• Familiarity with AWS EMR, container orchestration, and distributed learning.\n\n• Strong publication record or open-source contributions.\n\nWhy Novateur?\n\nJoin a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.\n\nCompany Benefits:\n\nNovateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.\n\nWe offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients."
 },
 {
  "job_id": "RjvujJAZzKuVD_4HAAAAAA==",
  "title": "Senior ML Engineer & Tech Lead – DoD CV/Edge AI",
  "employer": "CoVar",
  "country": "us",
  "description": "CoVar, a small AI/ML R&D software company located in McLean, VA, is seeking a Senior ML Engineer (Technical Lead). This role involves leading technical delivery for machine learning systems, owning customer engagement, and managing an engineering team. Ideal candidates will have experience in complex project delivery in machine learning and computer vision, strong communication skills, and a background in software engineering. Competitive salary and benefits offered, including flexible schedules and health care coverage."
 },
 {
  "job_id": "6c0uUKFMqn9BGjQiAAAAAA==",
  "title": "Computer Vision Engineer",
  "employer": "Current Sets",
  "country": "us",
  "description": "This is a remote role, but we will meet up 1x per month with the engineering team, 1-3x per year for customer visits, and 1x per year for company summits.\n\nOur application is seeing growing adoption, and we are expanding the team to add someone who can help improve its core vision pipeline for growth and add new intelligent features and functionality. Some of these projects will be from the ground up and some will be integrated into our existing application.\n\nWe have a strong foundation that we're building on top of and are looking for an engineer excited to move fast and deliver features we have currently planned out.\n\nThis is ideal for someone who likes fine-tuning image processing systems, optimizing models, and building out new visual functionality. In this role, you will be manipulating pixel data directly, shaping scalable backend systems for processing, and building efficient vision-driven components.\n\nWhat You'll Be Doing\n• Building modern visual interfaces and processing pipelines with Python, C++, or TypeScript\n• Working directly with image/video streams, canvas rendering, and manipulation of visual data structures\n• Designing and optimizing databases, media caching, and backend services to handle heavy visual data loads\n• Deploying cloud-native ML and vision features using Google Cloud Platform (GCP)\n• Contributing to real-time image analysis, object tracking, and data visualization tools\n\nWhat We’re Looking For\n• 3+ years of software engineering experience\n• Strong fundamentals in image processing, computer vision algorithms, and core programming languages\n• Experience with backend services and building APIs to serve vision models\n• Familiarity with GCP or other cloud platforms for model deployment or storage\n• Understanding of performance tuning at both the inference layer (browser/device) and the database layer\n• Bonus points if you’ve worked with OpenCV, WebGL/Three.js, specialized ML frameworks (PyTorch/TensorFlow), or large-scale data rendering challenges\n\nCompensation & Benefits\n• Competitive healthcare, compensation, and equity\n• Salary: $80,000 - $90,000"
 },
 {
  "job_id": "UJOqWlyvQFbjw5mHAAAAAA==",
  "title": "Sr. Computer Vision Engineer",
  "employer": "Open Space Labs Inc",
  "country": "us",
  "description": "Brief summary of role:\n\nWe''re looking for an experienced Sr. Computer Vision Engineer to own core algorithms for mapping, localization, image analysis, and 3D reconstruction on real-world construction site data. This role centers on advanced computer vision but integrates modern machine learning methodologies to optimize performance on real-world construction site data. You will leverage classical CV, deep learning (transformers, multi-modal models), and probabilistic modeling to provide meaningful insights to our customers.\n\nWhat you'll be doing:\n• Design and architect complex, multi-component computer vision and machine learning systems.\n• Develop and optimize image localization, SLAM, SfM, and 3D reconstruction techniques.\n• Implement deep learning models for visual perception, leveraging modern techniques (LLMs, VLLMs, transformers, and generative AI).\n• Prototype and rigorously test algorithms on real-world construction site data.\n• Collaborate with platform engineers to transition research prototypes into production-ready implementations.\n• Oversee dataset creation, curation, and annotation to ensure high-quality training and validation data.\n• Monitor system performance in production, ensuring scalability and robustness.\n\nWhat we are looking for:\n• M.S./Ph.D. in related field or equivalent industry experience.\n• 5+ years of industry experience developing computer vision and machine learning models for image processing.\n• Strong expertise in camera models, calibration, and 3D pose representations/transforms.\n• Experience with SLAM, SfM, 3D reconstruction, photogrammetry, or VIO.\n• Proficiency in deep learning frameworks (e.g., PyTorch).\n• Experience working with multi-modal models combining images and language.\n• Deep understanding of fundamental CV: feature detection/matching, probabilistic modeling, computational geometry, and numerical optimization.\n• Experience with 3D visualizations and debug interfaces (OpenGL/PyQt).\n\nWhy join us:\n• Be part of a high-growth company shaping the future of ConTech\n• Work alongside a talented and collaborative team\n• Competitive compensation package, including base salary, commission, and benefits\n• Opportunities for professional development and career growth\n\nBase Salary: $152,000-220,000\n\nThe \"Base Salary: range represents the low and high end of the anticipated salary range for this position across all US locations including but not limited to CA, CO, NY, WA, NV, MD, CT and RI. The determination of this anticipated Base Salary involves the consideration of many factors in making compensation decisions including but not limited to: location of candidate, unique skill sets, experience, training, performance, licensure and certifications, as well as other business and organizational needs. Our anticipated Base Salary determination is just one component of OpenSpace's competitive total rewards strategy that also includes equity awards, 401k match, as well as other region-specific health and wellness benefits.\n\nOpenSpace welcomes employees from varied backgrounds and walks of life, and it's reflected in our diverse community. OpenSpace is proud to be an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.\n\nSkills:\nAlgorithms, Analysis Skills, Artificial Intelligence (AI), Calibration, Compensation Management, Competitive Analysis/Strategy, Computational Geometry, Computer Vision, Construction, Customer/Client Research, Data Sets, Debugging Skills, Deep Learning, Image Processing, Localization, Machine Learning, OpenGL Programming Libraries, Performance Analysis, Performance Tuning/Optimization, Photogrammetry, Production Systems, Prototyping, Team Player\n\nAbout the Company:\nOpen Space Labs Inc"
 },
 {
  "job_id": "CN1-45W9bceZC70JAAAAAA==",
  "title": "Computer Vision Engineer — Real-Time AI & Deployment",
  "employer": "Pamclic Global Software",
  "country": "us",
  "description": "Pamclic Global Software in Salem, Virginia seeks a Computer Vision Engineer to develop, train, and optimize advanced AI models for real-world applications. Your responsibilities will include designing algorithms for image processing and object detection, integrating these models into web applications, and maintaining AI applications.\n\nThe ideal candidate will have a strong background in computer vision and deep learning, proficient in Python, and experienced with frameworks such as OpenCV and TensorFlow."
 },
 {
  "job_id": "5rNNUpoOe9nAPwEsAAAAAA==",
  "title": "Senior Computer Vision Architect",
  "employer": "Cognizant",
  "country": "us",
  "description": "Cognizant is searching for a Computer Vision Subject Matter Expert in Richmond, Virginia. This position involves leading advanced vision solutions to enhance automation and efficiency across multiple industries. The ideal candidate will have over 10 years of experience in computer vision, proven success in enterprise-scale deployments, and expertise in relevant technologies like OpenCV and TensorFlow. This role includes remote work, with 30–40% travel to client sites. J-18808-Ljbffr"
 },
 {
  "job_id": "vymTccBBkxbD5qPEAAAAAA==",
  "title": "Staff Computer Vision AI/ML Engineer",
  "employer": "CACI",
  "country": "us",
  "description": "Job Title: Staff Computer Vision AI/ML Engineer\n\nJob Category: Science\n\nTime Type: Full time\n\nMinimum Clearance Required to Start: TS/SCI\n\nEmployee Type: Regular\n\nPercentage of Travel Required: None\n\nType of Travel: None\n\nAnticipated Posting End: 12/31/2026\n\nThe Opportunity:\nThis position, in either Aurora, CO or King of Prussia, PA, is for a Staff Computer Vision AI/ML Engineer. As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR).\n\nYou will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment. You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations.\n\nResponsibilities:\nOur ideal candidate is an experienced professional who has researched and developed AI/ML-based computer vision algorithms and deployed these algorithms to operational environments. This candidate will have the opportunity to apply their knowledge in AI/ML to solve a broad set of problems across multiple domains. This candidate will be joining a team of talented researchers and software developers with the opportunity to lead and mentor junior engineers. Additionally, they will work our technical and business strategy leadership team to help shape our growing AI/ML portfolio.\n\nAs a CV AI/ML Engineer, your responsibilities include:\n• Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing\n• Analyzing and pre-processing large remote sensing datasets\n• Researching supervised and unsupervised ATR solutions for remote sensing\n• Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios\n• Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights\n• Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications\n• Writing technical documentation supporting code, program capabilities and user-guides\n\nQualifications:\n\nRequired:\n• Active TS/SCI Clearance\n• B.S. in Data Science, AI/ML, Computer Science, or related field\n• 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML model\n• Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers\n• Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance\n• Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV\n• Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.)\n• Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers\n\nDesired:\n• MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields\n• Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL)\n• Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion\n• Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems\n• Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR\n• Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc.\n• Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc.\n• Experience with version control processes and tools for code version control, data version control, and model version control\n• Experience with Linux\n• Experience with implementing tracking and fusion, and pattern-of-life algorithms\n• Experience in application deployment, virtualization, and containerization\n• Experience shaping and writing proposals\n• Active TS/SCI U.S. Government Security Clearance with Polygraph\n\n-\n\nWhat You Can Expect:\n\nA culture of integrity.\n\nAt CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.\n\nAn environment of trust.\n\nCACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.\n\nA focus on continuous growth.\n\nTogether, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.\n\nPay Range:\n\nThere are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.\n\nSince this position can be worked in more than one location, the range shown is the national average for the position.\n\nThe proposed salary range for this position is:\n$98,500-$206,800\n\nCACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.\n\nSkills:\nAWS Lambda, Algorithms, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Applications Security, Artificial Intelligence (AI), Business Strategy, Cloud Computing, Communication Skills, Computer Science, Computer Vision, Data Collection, Data Fusion, Data Science, Data Sets, Deep Learning, Federal Contracts, Federal Government, Government, Government Contracts, Image Processing, Leadership, Linux Operating System, Machine Learning, Mathematics, Mentoring, Presentation/Verbal Skills, Problem Solving Skills, Proposal Writing, Prototyping, Publications, Python Programming/Scripting Language, Research & Development (R&D), SSL-TLS (Secure Socket Layer - Transport Layer Security), Safety/Work Safety, Schedule Development, Security Clearance, Sensitive Compartmented Information (SCI), Software Development, Source Code/Configuration Management (SCM), Team Lead/Manager, Technical Leadership, Technical Presentation, Technical Strategy, Technical Support, Technical Writing, Top Secret Clearance, Training/Teaching, Virtualization, Willing to Travel, Writing Skills, XView GUI Toolkit\n\nAbout the Company:\nCACI\n\nCACI provides information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. A member of the Fortune 1000 Largest Companies, the Russell 2000 Index, and the S&P SmallCap 600 Index, CACI provides dynamic careers for over 15,800 employees working in over 120 offices worldwide. Visit www.caci.com.\n\nWe strive to sustain a corporate culture based on integrity - one that's focused on treating customers ethically and making their priorities our priorities. We pride ourselves in finding and hiring people with the highest intellectual capital, and providing them with challenging opportunities and encouraging their innovation and initiative.\n\nIndustry:\nComputer/IT Services\n\nFounded:\n1962\n\nWebsite:\nhttp://www.caci.com/"
 },
 {
  "job_id": "YVOhVJsjKB29auBTAAAAAA==",
  "title": "Senior Computer Vision Engineer ID72408",
  "employer": "AgileEngine",
  "country": "us",
  "description": "AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.\n\nWHY JOIN US\nIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!\n\nABOUT THE ROLE\nWe are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.\n\nWHAT YOU WILL DO\n- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;\n- Translate complex business problems into viable, practical, and scalable AI/ML solutions;\n- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;\n- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;\n- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;\n- Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.\n\nMUST HAVES\n- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;\n- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;\n- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);\n- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);\n- Strong, production-level proficiency in Python;\n- Deep hands-on experience with leading deep learning frameworks, specifically PyTorch and/or TensorFlow;\n- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;\n- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);\n- Upper-intermediate English level.\n\nNICE TO HAVES\n- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;\n- Familiarity with deploying models on edge devices;\n- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference.\n\nPERKS AND BENEFITS\n- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.\n- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.\n- Exciting projects: Modern solutions with Fortune 500 and top product companies.\n- Flextime: Flexible schedule with remote and office options."
 },
 {
  "job_id": "tx5FEfqUJBIWRRN2AAAAAA==",
  "title": "Optimization of DNN based computer vision algorithms for resource constrained tactical edge",
  "employer": "ORAU",
  "country": "us",
  "description": "Organization\n\nDEVCOM Army Research Laboratory\n\nReference Code\n\nARL-C-CISD-300106-NCCS\n\nDescription\n\nAbout the Research\n\nObjection detection and sematic segmentation-based computer vision algorithms have become an essential element of visual scene understanding used by many tactical edge computing devices. In general, computer vision algorithms deploy complex deep neural network architectures that are computationally complex and not optimized for resource constrained, edge computing devices. In this opportunity, we will be profiling several computer vision algorithms and optimizing them for the deployment over edge computing platforms with resource constraints. During this project, we will also develop a generalized model switching framework for dynamic loading of models to meet both resource constraints and mission requirements. The selected candidate will collaborate with a both internal and external collaborators to advance the project goals.\n\nARL Advisor: Venkateswara R. Dasari; Noah Weston\n\nARL Advisor Email: venkateswara.r.dasari.civ@army.mil; noah.d.weston.civ@army.mil\n\nAbout ARL-RAP\n\nThe Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.\n\nA complete application includes:\n\n• Curriculum Vitae or Resume\n• Three References Forms\n• An email with a link to the reference form will be available in Zintellect to the applicant upon completion of the on-line application. Please send this email to persons you have selected to complete a reference.\n• References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable)\n• Transcripts\n• Transcript verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable\n\nIf selected by an advisor the participant will also be required to write a research proposal to submit to the ARL-RAP review panel for :\n\n• Research topic should relate to a specific opportunity at ARL\n• The objective of the research topic should be clear and have a defined outcome\n• Explain the direction you plan to pursue\n• Include expected period for completing the study\n• Include a brief background such as preparation and motivation for the research\n• References of published efforts may be used to improve the proposal\n\nA link to upload the proposal will be provided to the applicant once the advisor has made their selection.\n\nQuestions about this opportunity? Please email ARLFellowship@orau.org\n\nPoint of Contact\n\nARL-RAP\n\nEligibility Requirements\">27 )\n\n• Citizenship: U.S. Citizen Only\n• Degree: Master's Degree or Doctoral Degree.\n• Academic Level(s): Any academic level.\n• Discipline(s):\n• Engineering (• Aerospace and Aeronautical\n• Agricultural Engineering\n• Architectural Engineering\n• Bioengineering and Biomedical Engineering\n• Chemical Engineering\n• Civil Engineering\n• Communications Engineering\n• Computer and Systems Engineering\n• Electrical and Electronic Engineering (including Cybersecurity)\n• Energy\n• Engineering (General)\n• Engineering Physics\n• Engineering Sciences\n• Environmental Engineering\n• Geophysical Engineering\n• Industrial Engineering\n• Materials Science Engineering\n• Mechanical Engineering\n• Metallurgical Engineering\n• Mining and Minerals Engineering\n• Naval Architecture and Marine Engineering\n• Nuclear Engineering\n• Ocean Engineering\n• Petroleum Engineering\n• Polymer Engineering\n• Radiation Protection\n• Systems Engineering (including Human Systems)"
 },
 {
  "job_id": "qPXwwtNSUg6TECHMAAAAAA==",
  "title": "3D Computer Vision Engineer, New York City",
  "employer": "Toggle Robotics",
  "country": "us",
  "description": "OverviewToggle is a venture-backed robotics and software company building technology for the construction and fabrication industries, with a globally distributed team across the U.S. and Europe. We have deployed robotic systems in real-world rebar production and are now building a new category of industrial software: automated feature inspection and dimensional verification for high-mix fabrication. We've validated our sensing and verification stack in rebar and are expanding into broader fabrication environments (metal, glass, GFRC, wood), where quality control remains manual and inconsistent. We're looking for a 3D Computer Vision Engineer - on a contract basis - to help shape software that turns raw 3D scan data into reliable, production-grade measurements and pass/fail decisions in real-world environments.\n\nWhat you'll do\n• Develop pipelines for:\n• Point cloud processing, filtering, and denoising\n• Scan-to-CAD alignment (ICP + feature-based methods)\n• Feature extraction and primitive fitting (planes, edges, holes, slots, chamfers, fillets)\n• Dimensional measurement, tolerance evaluation, and per-point deviation field computation\n• Translate raw geometry into clear inspection outputs (pass/fail, deviations, annotations)\n• Generate per-point deviation heatmaps for visual review in the 3D viewer\n• Handle calibration, drift, noise, and incomplete data\n• Ensure robustness across materials, lighting, and shop-floor conditions\n• Work directly with QC managers on the shop floor to validate and iterate\n• Ship working software on a short feedback loop - prototype, test in the field, harden\n• Support live customer deployments\n• Help define how UI/UX is optimized for operators\n• Contribute to end-to-end workflows, not just isolated algorithms\n• This is primarily a remote contract role, with approximately 20% of working time hands-on at a U.S. or European facility working directly with the 3D camera system to develop and test software against real hardware. Infrequent travel to client sites for system setup and validation is expected as needed.\nWho You Are\n\nYou think in geometry, not just models, and care deeply about accuracy, robustness, and repeatability. You're comfortable moving from research to production and don't get stuck chasing perfect theory-you ship working systems, learn from real-world data, and iterate quickly.\nRequired Skills & Experience\n• Degree in Computer Science, Robotics, or related field\n• Strong experience in 3D computer vision / geometry processing\n• Proficiency in Python; C++ a strong plus\n• Experience shipping production-quality computer vision or measurement pipelines (not just research code)\n• Hands-on experience with:\n• Real sensor data (not just simulated or academic datasets)\n• Point cloud libraries (PCL, Open3D, or similar)\n• Registration (ICP, feature-based alignment)\n• Geometric primitive fitting (RANSAC, circle/cylinder/plane fitting)\n• Sensor calibration and depth systems\n\nNice to have\n• Inspection, metrology, or manufacturing systems experience\n• Parsing CAD models (DXF, STEP) and aligning scan data to CAD geometry\n• Deployment of systems into production environments\n• Robotics or industrial automation background\nWhy Toggle\n• Work on unsolved problems in the physical world and built environment\n• Define and build new systems used directly in factory and construction pre-fab production\n• Human centric with a priority on safety and usability\n• High ownership and fast iteration\n• Small, technical, global and collaborative team\n\nToggle is an equal opportunity employer. We encourage candidates of all backgrounds to apply.\nEmployment Type: CONTRACTOR"
 },
 {
  "job_id": "1eAv3EmS2bPnMuLjAAAAAA==",
  "title": "Senior Computer Vision Engineer",
  "employer": "Geomagical Labs",
  "country": "us",
  "description": "Geomagical Labs is crafting three-dimensional, AI-powered experiences for tens of millions of users around the world. In partnership with IKEA, our pioneering apps allow customers to scan photorealistic models of their indoor spaces, and interactively reimagine them with new furniture in life-like 3D.\nAbout the role\n\nWe have an opening for a Senior Computer Vision Engineer, with strong Python engineering skills, an analytical mindset, and a strong collaborative behavior – to join our Applied Research team. Responsibilities include researching, designing, coding, testing, and shipping Applied AI solutions. This position could be an opportunity to become an expert practitioner in the fast-moving field of AI.\n\nYou will be expected to be a thoughtful, pragmatic, can-do technologist, and also a great collaborator & teammate. Successful candidates will need these attributes:\n• Entrepreneurial – Strong drive, growth mindset, lives Geomagical cultural values.\n• Analytical & data driven – Generates analyses & data to assess results.\n• Great teammate – Positive collaborator, brings out best outcomes from others.\n• Strategic – Sees the big picture, and creatively maps out solutions.\n• Reliable operator – In the details, good planner.\n• Fast learner – Curious & constantly learning. Not ashamed to ask questions/admit errors.\n\nSome duties and responsibilities of the role include:\n• Applied research --- Be a core team member of the Applied Research team – applying state-of-the-art technologies to our products (e.g. neural network integration & deployment).\n• Improve automated furnishing --- Improve today’s auto-furnishing algorithms (results and performance), and lead new developments in home furnishing assistance (e.g. LLM integration).\n• Tooling & MLOps --- Develop ML tooling to enhance the productivity and software quality of the research team.\n• POC development & evaluation--- Rapidly harness state-of-the-art ML models & algorithms, and convert them into meaningful proofs-of-concept (POCs) for study and evaluation.\n• Productionization --- Further develop promising POCs into robust, production-grade solutions for deployment at scale.\n• Drive engineering best practices --- Help and coach our Applied Research teams to be more effective & efficient through better software engineering.\n• Strong expertise in Python.\n• Experience developing classical computer-vision algorithms and integrating vision-based neural networks.\n• Experience building resilient, low-latency, systems & pipelines.\n• Highly effective, high-EQ communication skills (verbal & written).\n• The USA base salary ranges from $170,000 to $200,000, determined by location, skill, and experience level.\n• In addition to base salary, we incentivize via an annual performance bonus, based on team and company OKR success.\n• Excellent health and retirement benefits. Full medical, dental, and vision coverage.\n• Strong people-first culture with generous PTO, a focus on improving each other, and an actively shaped team culture to ensure a happy and healthy working environment for all.\n• Opportunity to work in a dynamic team of successful serial entrepreneurs, software developers, computer vision & AI researchers, and graphics engineers.\n• The ability to build products and features from the ground up and put them into the hands of millions of people around the world.\n• Headquarters located in downtown Palo Alto, California --- an easy walk from restaurants, coffee shops, and Caltrain commuter rail.\n• Location is flexible - our team is distributed globally, any nearby timezone is great as long as you have regular internet access and can overlap with US Pacific and Europe CET work hours for meetings as needed.\n#J-18808-Ljbffr"
 },
 {
  "job_id": "wSlEf9aN6LmOiUV2AAAAAA==",
  "title": "Computer Vision Engineer, Camera and Photos",
  "employer": "Apple",
  "country": "us",
  "description": "Key Responsibilities\n\n• Design, implement, and optimize real-time and near-real-time image and video processing algorithms for the organization silicon\n\n• Prototype novel computational photography and computer vision features from concept through production\n\n• Collaborate closely with cross-functional partners across software, hardware, silicon, and algorithm teams to co-develop groundbreaking camera technologies\n\n• Develop evaluation frameworks, metrics, and analysis tools to measure and continuously improve image and video quality\n\n• Debug and profile on resource-constrained or embedded mobile platforms\n\n• Contribute to the full lifecycle of camera capabilities spanning the organization devices\n\nRequirements\n\n• Strong proficiency in C/C++ and Objective-C/C++; working knowledge of Python for prototyping and analysis\n\n• Domain expertise in computer vision, computational photography, or machine learning with hands-on implementation experience\n\n• Familiarity with modern camera or image signal processing (ISP) pipelines\n\n• Experience with GPU programming using Metal, OpenCL, or CUDA\n\n• Track record of shipping camera, imaging, or video features in production systems"
 },
 {
  "job_id": "s-kbquNhKPlMLu0HAAAAAA==",
  "title": "Computer Vision Engineer",
  "employer": "Pamclic Global Software",
  "country": "us",
  "description": "Role & Responsibilities Computer Vision Engineer Develop, train, and optimize computer vision and deep learning models for real-world applications. Design and implement image processing and object/face detection algorithms using Python. Build and integrate AI models with web applications and REST APIs. Work with OpenCV, YOLO, TensorFlow, PyTorch, or similar frameworks. Process and analyze images, videos, and live camera streams for AI-based solutions. Improve model accuracy, performance, and inference speed. Collaborate with software developers to deploy AI models into production. Debug, test, and maintain AI applications and computer vision pipelines. Prepare technical documentation and follow coding best practices. Stay updated with the latest advancements in AI, machine learning, and computer vision. #J-18808-Ljbffr"
 },
 {
  "job_id": "rcWxhMCYYg27o_qIAAAAAA==",
  "title": "R&D Computer Vision Engineer – On-Site Hybrid",
  "employer": "Penn State University",
  "country": "us",
  "description": "Position: R&D Computer Vision Engineer – On-Site with Hybrid Options Penn State University is seeking a Research and Development Computer Vision Engineer to join the Applied Research Laboratory. This full-time position involves designing and deploying advanced computer vision systems focused on applications in defense and security. The role requires a Bachelor's degree in Engineering or Science, proficiency in programming (Python, R, Java, C++, Matlab), and strong analytical skills. A competitive salary range of $86,300 to $164,000 is offered, alongside excellent benefits including a 75% tuition discount. #J-18808-Ljbffr"
 },
 {
  "job_id": "BEPOw7Uz7YAtsh2kAAAAAA==",
  "title": "Computer Vision Engineer",
  "employer": "Trunk Tools",
  "country": "us",
  "description": "New York City HQ, Austin, San Francisco - Bay Area, Remote - US Time Zone\nEmployment Type\n\nFull time\nDepartment\nCompensation\n\nTrunk Tools takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. Your starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. In addition to salary, we offer a comprehensive benefits package and equity component.\n\nAt Trunk Tools, we’re the leading AI company revolutionizing construction—the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite.\n\nOur mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes—we’re changing that by embedding AI directly into field operations.\n\nFounded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry’s unique challenges.\n\nAfter years of building the “brain” of construction, we’re now launching production-ready AI agents—starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 65+ employees (25+ engineers), we’re scaling fast and entering a period of hypergrowth—this is a rare opportunity to join at an inflection point.\nWhat you will do and achieve:\n\nEnhance our capabilities to understand and extract information from images in the construction domain, such as blueprints, schematics and site photos\n\nDevelop and deploy computer vision models, including image classification, object detection, and segmentation\n\nBuild and optimize pipelines for integrating vision models into existing workflows\n\nDesign efficient labeling processes to acquire proprietary datasets, for training proprietary algorithms\n\nProcess and analyze a diverse set of documents beyond images, including text and tables\n\nDesign and conduct experiments to evaluate and improve model performance and robustness\nWho you are:\n\nMS/PhD in Computer Science, Computer Vision, Robotics or a related field\n\n5+ years of experience in computer vision, with a focus on building production-ready systems\n\nProficiency in Python, ML and experience with deep learning frameworks such as PyTorch or TensorFlow, and computer vision libraries like OpenCV\n\nStrong experience with image processing, feature extraction, and visual data analysis\n\nExperience with visual transformers and their applications in computer vision tasks\n\nFamiliarity with LLM-based applications and RAG systems in real-world scenarios\n\nInterest in the construction industry\n\nBonus: Experience with multi-model LLMs or embedding models\n\nBonus: Experience with processing construction-specific visual data, such as blueprints or site images\nWhat we offer\n\nA close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters\n\nCompetitive salary and stock option equity packages\n\n3 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance!\n\nFlexible long-term work options (remote and hybrid)\n\nFree lunch provided in the office in NYC & Austin - you’ll never go hungry with us!\n\nUnlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation\n\nIRL / In-Person retreats throughout the year\n\nPlease note: All official communication from Trunk Tools will come from an email address ending in @ trunk.tools. If you receive outreach from any other domain, please disregard it or report it to us.\n\nAt Trunk Tools, we’re working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class.\n\n#J-18808-Ljbffr\n\nSalary: USD 72000 - 108000 per year\n\nExperience: 5 years required"
 },
 {
  "job_id": "XbktjfmUBDZetUn4AAAAAA==",
  "title": "Computer Vision Engineer",
  "employer": "pangramlabs",
  "country": "us",
  "description": "About Pangram Labs\n\nPangram Labs’ mission is to protect authenticity by building the world’s best AI detection systems. We publish research on state-of-the-art AI detection techniques and algorithms, and build products to bring our technology into people's daily lives.\nWe are looking for high agency, mission-driven, and passionate builders to join our team. All roles are in person in Brooklyn, New York.\n\nAbout the Team\n\nWe are a small, tight-knit team of researchers and engineers who care deeply about our work and each other. We believe that a small group of highly talented, empowered, and efficient people can outperform teams many times their size. Everyone on the team has meaningful ownership over the technical and strategic direction of the company.\nPangram is primarily an in-person company. We are high-touch, high-energy, and extremely collaborative by nature and choose to spend time together to do our best thinking and innovation.\n\nAbout the Role\n\nPangram Labs is hiring a Computer Vision Engineer to build and ship the multimodal AI detection systems at the core of our product. You'll own models end to end — from data and training through deployment, serving, and monitoring in production — to build the most accurate AI detection software in the industry.\nYou'll train deep learning models that reliably identify AI-generated images, then take responsibility for getting them into production and keeping them performant, reliable, and continuously improving against an adversarial, fast-moving threat landscape. This is an engineering-first role: research is part of the work, but the job is measured by what ships and how well it runs at scale.\n\nResponsibilities\n\n• Train large-scale deep learning models to detect AI-generated content, and own the full lifecycle: data pipelines, training, evaluation, deployment, monitoring, and retraining\n\n• Build and operate the production systems that serve detection models — inference services, batch pipelines, and the infrastructure behind them — with attention to latency, throughput, cost, and reliability\n\n• Design evaluation and monitoring pipelines that catch model regressions and detect drift as new generative models emerge\n\n• Build infrastructure for synthetic dataset creation and large-scale data processing\n\n• Improve model accuracy, robustness, and efficiency through experimentation grounded in production metrics\n\n• Work with engineering and product teams to translate models into shipped product features, and share results with technical and non-technical audiences through documentation, whitepapers, and blog posts\n\nRequirements\n\n• 3–5+ years of experience building and deploying ML systems in production, and/or a Ph.D. in AI, Machine Learning, Computer Vision, or a related area\n\n• A strong engineering track record: shipping production code, deploying models, and building reliable systems. This can be demonstrated through significant contributions to AI products in industry, or through first-author publications at major AI/CV venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc.)\n\n• Experience training neural networks in PyTorch at scale, including distributed training\n\n• Experience with AI infrastructure and distributed systems — model serving, pipelines, and the tooling required to run models in production\n\n• Deep understanding of generative image models (diffusion models, GANs, autoregressive image models) and how they work\n\n• Solid understanding of neural networks for video, audio, time series, and signal processing\n\n• Familiarity with recent technical developments in LLMs\n\nNice to have\n\n• Experience with MLOps tooling, CI/CD for ML, or model observability and monitoring at scale\n\n• Experience or publications in image forensics or deepfake detection\n\n• Experience with synthetic data, adversarial robustness, or interpretability\n\nWhat we offer\n\n• Salary Range: $230,000–$260,000 per year\n\n• Competitive equity\n\n• Healthcare benefits\n\n• Free lunch at the office"
 },
 {
  "job_id": "v3ORAhSzWR5x3GGMAAAAAA==",
  "title": "Senior Computer Vision & Machine Learning Engineer",
  "employer": "Buzz Solutions",
  "country": "us",
  "description": "Job Description\n\nBuzz is revolutionizing the analytics and maintenance of power grid infrastructure through our advanced AI solutions. Our computer vision systems analyze critical infrastructure to enhance safety, reliability, and operational efficiency across the power grid network. We're seeking an experienced Machine Learning Engineer to help lead our computer vision initiatives. You'll drive the development of cutting-edge models for power grid analysis and provide a leadership anchor on a team of talented ML engineers.\n\nResponsibilities\n\n• Architect and lead end-to-end computer vision projects focused on: Equipment defect detection, Thermal anomaly identification, Vegetation encroachment monitoring, Surveillance of closed areas for human and animal intrusions\n\n• Drive innovation by incorporating the latest advances in deep learning and generative AI to enhance model training, accuracy and reliability\n\n• Develop production-grade Python libraries for the complete ML lifecycle\n\n• Mentor team members and establish best practices for model development, evaluation, deployment, and monitoring\n\n• Advocate for and uphold software quality standards within the ML team\n\nQualifications & Experience\n\n• 7-10 years of industry experience in computer vision and machine learning\n\n• Deep expertise in modern computer vision and deep neural networks including: Object detection, Semantic segmentation, Image classification, Similarity search, Vision language models\n\n• Proven track record of deploying and maintaining ML models in production\n\n• Expert proficiency in PyTorch, Lightning, OpenCV, and Scikit-Learn\n\n• Proficiency in FastAPI and Pydantic\n\n• Strong software engineering foundation including: Git version control, Test driven development (Pytest), CI/CD, ML devops, Python type hinting\n\n• 2-3 years of proven leadership experience of technical teams\n\nDesired Additional Experience\n\n• Multi-modal computer vision\n\n• Custom object detection model development\n\n• Generative models for data augmentation\n\n• ML deployment on edge devices\n\n• Extracting measurements from GIS and/or drone metadata enriched imagery\n\n• Model quantization\n\n• Systematic hyperparameter tuning\n\nAdditional information:\n\n• This position does not include sponsorship for United States work authorization."
 },
 {
  "job_id": "DAI0wQASBF5mz5MRAAAAAA==",
  "title": "Computer Vision Engineer",
  "employer": "Harrison Clarke",
  "country": "us",
  "description": "We're partnering with a well-funded early-stage AI startup looking to hire a Computer Vision Engineer to help build next-generation multimodal machine learning systems. This is an opportunity to join a small, highly technical team where engineers have significant ownership over both the research and production lifecycle of the models they build.\n\nThis role is ideal for someone who enjoys taking models from experimentation through deployment, working across data, infrastructure, training, evaluation, and production systems. You'll help solve technically challenging problems in a fast-moving environment where engineering quality and real-world impact are equally important.\n\nWhat You'll Be Working On\n• Designing, training, and improving large-scale computer vision and deep learning models\n• Owning the complete machine learning lifecycle from data preparation through production deployment and continuous improvement\n• Building scalable inference services and distributed ML pipelines\n• Developing evaluation frameworks, monitoring systems, and automated retraining workflows\n• Creating synthetic datasets and large-scale data processing infrastructure\n• Improving model accuracy, efficiency, robustness, and reliability through experimentation\n• Working closely with engineering and product teams to bring research into production\n• Contributing technical documentation, research publications, or engineering blogs where appropriate\n\nWe're Looking For Someone Who Has\n• 3+ years of experience building and deploying machine learning systems in production, or a PhD in Computer Vision, Machine Learning, Artificial Intelligence, or a related discipline\n• Strong software engineering experience alongside applied machine learning\n• Experience training large neural networks using PyTorch, including distributed training\n• Experience building production ML infrastructure, including model serving, data pipelines, and scalable deployment systems\n• Deep understanding of modern generative image models such as diffusion models, GANs, or transformer-based vision architectures\n• Experience working with multimodal learning or computer vision systems\n• Familiarity with recent developments in large language models and foundation models\n\nNice to Have\n• Experience with MLOps, model deployment, observability, or ML platform engineering\n• Background in image analysis, media authenticity, or visual reasoning\n• Experience with synthetic data generation or large-scale data pipelines\n• Knowledge of adversarial machine learning, model robustness, or interpretability\n• Experience building distributed AI systems that operate reliably at production scale\n\nWhy Join\n• Small, highly technical team with meaningful ownership and autonomy\n• Opportunity to work on challenging machine learning problems with real-world impact\n• Research and engineering are closely connected, allowing ideas to move quickly into production\n• Significant influence over technical direction, architecture, and model development\n• Work alongside experienced researchers and engineers building state-of-the-art AI systems"
 },
 {
  "job_id": "r0KxzZbqXK1agMcsAAAAAA==",
  "title": "Research and Development Computer Vision Engineer",
  "employer": "Penn State University",
  "country": "us",
  "description": "APPLICATION INSTRUCTIONS:\n\n•\nCURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply here, apply internally through Workday.\n\n•\nCURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.\n\n•\nIf you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants .\n\nApproval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants .\n\nPOSITION SPECIFICS\n\nWe are seeking a Computer Vision Engineer to join the Image Science and Computer Vision Department of the Applied Research Laboratory (ARL) at Penn State to design, develop, and deploy cutting-edge computer vision systems. You will work on challenging projects that involve object detection, tracking, recognition, and scene understanding to create intelligent visual systems for applications in defense, law enforcement, security, disaster relief, human geography, disaster preparedness, and first response.\n\nARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.\n\nYou will:\n\n• Develop, test, and report on computer vision algorithms to further understanding and capabilities of analytic tools\n\n• Combine multi-int source data with modeling capabilities that associate real world objects to known signatures and doctrines\n\n• Develop the ability to discover and capture information from geospatial data to better represent the most advanced understanding of world events, systems, and discrete entities\n\n• Grow career and capabilities, conduct applied research, provide technical guidance, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques\n\n• Engage in research efforts ranging from proof-of-concept through integrated production systems\n\n• Collaborate on programs as part of a team\n\nRequired skills/experience areas include :\n\n• Conduct experiments, analysis, and design or apply meaningful metrics to measure results\n\n• Computer programming in one or more of the following: Python, R, Java, C++, or Matlab\n\n• Ability to express yourself and ideas successfully to others in order to provide understanding\n\nPreferred skills/experience areas include :\n\n• Work within DoD/IC Analysis or Operational environments\n\n• Git, open source scientific computation, computer vision, modeling, or machine learning tools\n\n• Work with high performance computing\n\nYour work location will be fully on-site located in State College, PA but options exist for hybrid of on-site/work from home based on project-dependent ability. Questions related to flexible work should be directed to the hiring manager during the interview process.\n\nMINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS\nIf filled as Research and Development Engineer - Artificial Intelligence (ARL) - Advanced Professional, this position requires:\nBachelor's Degree - Engineering or Science\n5+ years of relevant experience\nRequired Certifications:\nNone\n\nIf filled as Research and Development Engineer - Artificial Intelligence (ARL) - Intermediate Professional, this position requires:\nBachelor's Degree - Engineering or Science\n2+ years of relevant experience\nRequired Certifications:\nNone\n\nARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).\n\nFOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu .\n\nBACKGROUND CHECKS/CLEARANCES\nEmployment with the University will require successful completion of background check(s) in accordance with University policies. This position requires that you operate a motor vehicle as a part of your job duties. A valid driver’s license and successful completion of a motor vehicle records check will be required in addition to standard background checks.\n\nNotice regarding employment at the Applied Research Laboratory (ARL):\nEmployees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.\n\nSALARY & BENEFITS\nThe salary range for this position, including all possible grades, is $105,900.00 - $200,808.00.\n\nSalary Structure - Information on Penn State's salary structure\n\nPenn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page .\n\nCAMPUS SECURITY CRIME STATISTICS\n\nPursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here .\n\nEEO IS THE LAW\n\nPenn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.\n\nPenn State Policies\n\nCopyright Information\n\nHotlines"
 },
 {
  "job_id": "tregHy1y7i2RoVUBAAAAAA==",
  "title": "Senior Machine Learning/Computer Vision Engineer (C++ or Python)",
  "employer": "Anduril Industries, Inc.",
  "country": "us",
  "description": "Senior Machine Learning/Computer Vision Engineer (C++ or Python)\n\nAnduril Industries is a defense technology company focused on transforming U.S. and allied military capabilities with advanced technology. Anduril’s Lattice OS turns thousands of data streams into a realtime, 3D command and control center, applying autonomy, AI, computer vision, sensor fusion, and networking to military systems.\nABOUT THE TEAM\n\nThe Tactical Recon and Strike (TRS) team develops aerial small drones (Group 1-3) and the equipment to test, deploy, and operate them. We bring products like Ghost, Anvil, Bolt, and Altius from concept to operational systems, working closely with specialist teams to solve hard problems for customers.\nABOUT THE JOB\n\nWe are seeking software engineers, hardware engineers, roboticists, and front-end mobile developers who want to build a powerful robotics platform accessible in real-time through multiple interfaces. We need a Computer Vision / Machine Learning Engineer to apply the latest research to our toughest problems. This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided.)\nWHAT YOU’LL DO\n• Propose and prototype innovative solutions to real-world problems using state-of-the-art techniques.\n• Develop and maintain core libraries and runtime applications.\n• Integrate classical and geometric methods in computer vision with ML approaches.\n• Collaborate with ML and Data Infra teams to construct benchmarks for analyzing system performance.\nREQUIRED QUALIFICATIONS\n• MS or PhD in Machine Learning, Robotics, or Computer Science with emphasis on Computer Vision\n• BS in Computer Science, Machine Learning, Electrical Engineering, or related field\n• 4+ years of experience developing and benchmarking ML algorithms on large-scale datasets\n• High proficiency in C++ development in a Linux environment\n• Experience deploying models with TensorRT and ONNX\n• Experience with Python development and deep learning frameworks such as PyTorch and TensorFlow\n• Experience writing and maintaining automated continuous integration tests\n• Experience in one or more of the following: Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection\n• Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, RGB-D and LIDAR Sensor Fusion\n• Eligible to obtain and maintain an active U.S. Secret security clearance\nPREFERRED QUALIFICATIONS\n• Experience troubleshooting and analyzing remotely deployed software systems\n• Proficient in Python\n• Proficient in CUDA\nCompensation and Benefits\n\nUS Salary Range: $168,000 - $252,000 USD. The salary range is an estimate based on compensation factors and may vary. Highly competitive equity grants are included in most full-time offers. Anduril provides comprehensive benefits, including:\n• Platinum Healthcare Benefits: comprehensive medical, dental, and vision plans; varying coverage by region\n• Basic Life/AD&D and long-term disability insurance; option to purchase additional coverage\n• Generous holiday calendar and PTO\n• 16 weeks of paid Caregiver & Wellness Leave\n• Family Planning & Parenting Support: fertility, adoption, and gestational carrier coverage\n• Mental health resources and additional work-life services\n• Professional development stipend\n• Daily meals and provisions where offered\n• Relocation assistance (where eligible)\n• 401(k) retirement plan (traditional and Roth; US roles only)\n\nThe recruiter assigned to this role can share more information about compensation and benefits during the hiring process.\nEEO Statement\n\nAnduril is an equal-opportunity employer dedicated to creating a diverse and inclusive workplace. All qualified applicants will be treated equally without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, age, or any other protected characteristic in accordance with applicable laws.\nApply for this job\n\nInterested candidates should submit a resume and cover letter through the Anduril careers portal. This posting does not include the full application form fields from the original page.\n\n#J-18808-Ljbffr\n\nExperience: 5 years required"
 },
 {
  "job_id": "3_WptrtBwEAhrZZGAAAAAA==",
  "title": "Senior Principal Applied Scientist, Computer Vision and Biometrics",
  "employer": "Oracle",
  "country": "us",
  "description": "Job Description\n\nThe computer vision team is on the forefront of enhancing image analysis and recognition capabilities, aiming to empower customers in tackling their unique business challenges with innovative solutions. If you're passionate about the potential of computer vision, this position offers a unique opportunity to collaborate with top-tier applied scientists and engineers in delivering exceptional models and services that ensure customer confidence in the safety and protection of their data.\n\nYour Opportunity\n\nWe are searching for a visionary scientist to lead our computer vision initiatives and shape the technical direction of our team. In this role, you will:\n• Drive the development and implementation of groundbreaking computer vision technologies.\n• Collaborate with world-class scientists to explore new horizons in computer vision to create real-world applications.\n\nResponsibilities\n• Team Leadership: Inspire and mentor a high-performing team of scientists.\n• Collaboration: Work closely with cross-functional teams to seamlessly integrate computer vision capabilities into diverse applications and products.\n• Innovation: Discover and pursue new opportunities in emerging technologies related to computer vision.\n• Technical Leadership: Provide expert technical direction and guidance within the team, steering the development of the computer vision roadmap.\n\nQualifications and Experience\n\nTo qualify, you should have:\n• A PhD in Computer Science, Electrical Engineering, or a related field, focusing on Computer Vision and Machine Learning (with at least 8 years of relevant experience preferred); OR a Master's or Bachelor's degree in a related field with over 10 years of relevant experience.\n• A strong publication record as a lead author or peer reviewer in top-tier journals and conferences.\n• Extensive experience in computer vision, deep learning, and image processing.\n• A proven track record in leading research and development projects.\n• A solid understanding of machine learning algorithms and architectures.\n• Excellent problem-solving and analytical abilities.\n• Outstanding leadership and communication skills.\n\nIf you are enthusiastic about pushing the frontiers of computer vision and possess a proven record of success, we encourage you to apply. Note that specific roles may require compliance with mandates such as immunization and drug testing.\n\nCompensation and Benefits\n\nThe hiring range for this position is $139,400 to $291,800 per annum, with potential eligibility for bonuses, equity, and compensation deferral. Oracle offers a competitive benefits package that includes:\n• Medical, dental, and vision insurance\n• Short-term and long-term disability\n• Life insurance and AD&D\n• Health care and dependent care Flexible Spending Accounts\n• 401(k) Savings and Investment Plan with company match\n• Flexible vacation and paid time off\n• 11 paid holidays\n• Paid sick leave\n• Paid parental leave\n• Employee Stock Purchase Plan and further financial planning\n• Voluntary benefits including various insurances\n\nWe are committed to fostering a diverse workforce and welcome applicants from all backgrounds. Your potential is our priority, and we support each employee's journey with flexible medical and retirement options. Join us in making a significant impact with AI and cloud solutions!"
 },
 {
  "job_id": "VKtf-RZqGLIH4H-AAAAAAA==",
  "title": "Applied Scientist - Computer Vision for Safer Workplaces",
  "employer": "Amazon",
  "country": "us",
  "description": "Amazon is seeking an Applied Scientist in Arlington, VA, to develop advanced machine learning and computer vision models aimed at improving workplace safety across its global operations. The ideal candidate will have a strong background in model development and a PhD or Master’s degree in a related field.\n\nThe role involves collaboration with engineers to productionize innovative solutions and improve safety for over 1.5 million workers. Amazon also offers a competitive base salary and a comprehensive benefits package."
 },
 {
  "job_id": "jw8lM4bTJ7OrmNfAAAAAAA==",
  "title": "Applied Scientist - Computer Vision Safer Workplaces",
  "employer": "Amazon",
  "country": "us",
  "description": "Position: Applied Scientist - Computer Vision for Safer Workplaces\n\nAmazon is seeking an Applied Scientist in Arlington, VA, to develop advanced machine learning and computer vision models aimed at improving workplace safety across its global operations. The ideal candidate will have a strong background in model development and a PhD or Master’s degree in a related field.\n\nThe role involves collaboration with engineers to product ionize innovative solutions and improve safety for over 1.5 million workers. Amazon also offers a competitive base salary and a comprehensive benefits package.\n#J-18808-Ljbffr"
 },
 {
  "job_id": "qN8mW9nGpkAdY4_FAAAAAA==",
  "title": "Senior Computer Vision Scientist, 3D",
  "employer": "Xometry",
  "country": "us",
  "description": "Xometry is adding a Senior Computer Vision Scientist to our cost prediction team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data.\n\nResponsibilities:\n• Use data science and machine learning principles to develop effective predictive models using 3D data\n• Write software to prepare, clean, and sample data for use in developing predictive models\n• Use cloud resources (e.g., Amazon Web Services) to prepare and process data\n• Query and extract data from databases (Snowflake and MongoDB)\n• Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy\n• Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm\n• Solve challenging, uncharted problems\n• Work in an environment that thrives on teamwork and continuous learning opportunities\n\nQualifications:\n• Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred\n• M.S. or PhD in a related field highly desired\n• 5+ years of experience with machine learning, statistical modeling, and optimization techniques\n• 2+ years of experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds\n• Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)\n• Proficient in linear algebra and statistics\n• Familiar with scientific software principals, e.g. versioning systems, reproducibility, code deployment\n• Experience in the manufacturing industry is desired\n• Must be a US Citizen or Green Card holder (ITAR)\n\nThe estimated base salary range for new hires into this role is $140,000- $182,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.\n\n#LI-Hybrid"
 },
 {
  "job_id": "wruo7kcDBo1a1lNnAAAAAA==",
  "title": "Senior Applied Scientist, Rich Media Experiences 8",
  "employer": "Zillow",
  "country": "us",
  "description": "Senior Applied Scientist\nThe Zillow Rich Media (RMX) team is transforming how people experience virtual home tours by building immersive, next-generation features that leverage mobile devices, machine learning, and computer vision.\nWe collaborate across product, research, and engineeringto develop innovative ways to capture, process, and present rich media, turning real-world signals into structured, interactive representations of homes within Zillow's products.\n\nAs a Senior Applied Scientist, you will tackle complex, real-world challenges that directly shape Zillow's virtual touring experiences.\nYou'll have a broad impact by defining and solving ambiguous problems, developing innovative models, and collaborating with cross-functional teams to deliver features that enhance how users explore homes.\nYour work will drive the next wave of immersive, user-centric experiences at Zillow.\n\nThis role has been categorized as a Remote position.\n\"Remote\" employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company.\nU.\nS.\nemployees may live in any of the 50 United States, with limited exceptions.\n\nIn addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.\nActual amounts will vary depending on experience, performance and location.\nEmployees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.\n\nYou Will Get To\n• Frame and solve complex perception problems using scientific and engineering best practices.\n\n• Collaborate with product, engineering, and design teams to translate user needs into research questions and solutions.\n\n• Design, implement, and iterate on machine learning and computer vision models for structured understanding of spaces.\n\n• Develop robust evaluation pipelines and experiments to measure and improve model performance.\n\n• Integrate models into production systems, ensuring reliability and scalability.\n\n• Monitor and improve deployed models based on real-world data and user feedback.\n\n• Mentor and support team members in modeling, evaluation, and research practices.\n\n• Communicate findings and technical decisions clearly to both technical and non-technical partners.\n\nWho You Are\n• 5+ years of experience as an applied or research scientist working on machine learning or computer vision with real-world data.\n\n• Proficiency in Python and at least one deep learning framework (e.\ng.\n, PyTorch, TensorFlow, or JAX), with a track record of building and deploying models.\n\n• Experience shipping production ML systems, including data pipelines, deployment, monitoring, and iteration.\n\n• Strong understanding of probability, statistics, and experimental design, with the ability to apply these to practical evaluation strategies.\n\n• Demonstrated ability to work with noisy, imperfect datasets and design robust solutions for challenging edge cases.\n\n• Experience with geometry-heavy or spatial understanding problems, or multi-modal/sensor-fusion challenges, is a plus.\n\n• Proven ability to communicate complex technical ideas to both technical and non-technical audiences, and to collaborate effectively in cross-functional teams.\n\n• Prior success in ambiguous, evolving problem spaces or zero-to-one environments is valued.\n\n• Contributions to the broader ML or computer vision community (e.\ng.\n, publications, patents, open-source) are a plus.\n\n• Here at Zillow, we value the experience and perspective of candidates with non-traditional backgrounds.\nWe encourage you to apply if you have transferable skills or related experiences.\n\nGet To Know Us\nAt Zillow, we're reimagining how people movethrough the real estate market and through their careers.\nAs the most-visited real estate platform in the U.\nS.\n, we help customers navigate buying, selling, financing and renting with greater ease and confidence.\nWhether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality.\n\nZillow is honored to be recognized among the best workplaces in the country.\nZillow was named one of FORTUNE 100 Best Companies to Work For in 2025, and included on the PEOPLE Companies That Care 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.\n\nNo matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industryand your careerforward, together.\n\nZillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees.\nWe are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.\nIf you have a disability or special need that requires accommodation, please contact your recruiter directly.\n\nQualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.\n\nLos Angeles County applicants:\nJob duties for this position include:\nwork safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.\nCriminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.\nThe."
 },
 {
  "job_id": "F4f-TDEIAB_4ftOOAAAAAA==",
  "title": "Senior Principal Applied Scientist OCI- GenAI Vision/Biometrics",
  "employer": "Ll Oefentherapie",
  "country": "us",
  "description": "Senior Principal Applied Scientist (OCI- GenAI Vision/Biometrics)\nUnited States\n\nJob Identification 333597\n\nJob Category Product Development\n\nPosting Date 05/13/2026, 04:39 PM\n\nJob Type Regular Employee\n\nDoes this position require a security clearance? No\n\nYears 6 to 10+ years\n\nApplicants Less than 10 applicants\n\nApplicants are required to read, write, and speak the following languages English\n\nThe computer vision team is responsible for growing our capabilities in image analysis and recognition. Our goal is to enable customers to apply computer vision to solve their particular business problems with our assistance and expertise. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high‑quality computer vision models and services that delights our customers with the confidence that their data are safe and protected. Your opportunity: We are seeking a visionary scientist to spearhead computer vision initiatives and lead the technical direction of the team. You will be responsible for driving the development and implementation of cutting‑edge computer vision technologies, and working with a team of world‑class scientists to explore new frontiers of computer vision to enable real‑world solutions.\n\nResponsibilities\n\nTeam Leadership: Lead and mentor a high‑performing team of scientists.\n\nCollaboration: Work closely with cross‑functional teams to integrate computer vision capabilities into various applications and products.\n\nInnovation: Identify new opportunities for computer vision emerging technologies.\n\nTechnical Leadership: Provide technical direction and guidance to the team, and drive the development of the computer vision roadmap.\n\nQualifications\n\nPhD in Computer Science, Electrical Engineering, or a related field with a dissertation, thesis, or final project centered in Computer Vision and Machine Learning, with 8+ years relevant experience (preferred but not required) OR a Master's or Bachelor's in a related field with 10+ years relevant experience.\n\nStrong publication record, including as a lead author or reviewer, in top‑tier journals or conferences.\n\nExtensive experience in computer vision, deep learning, and image processing.\n\nProven track record of leading research and development projects.\n\nStrong understanding of machine learning algorithms and architectures.\n\nExcellent problem‑solving and analytical skills.\n\nStrong leadership and communication abilities.\n\nIf you are passionate about pushing the boundaries of computer vision and have a proven track record of success, we encourage you to apply.\n\nDisclaimer\nCertain U.S. based or U.S. customer or client‑facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.\n\nRange and benefit information provided in this posting are specific to the stated locations only.\n\nUS: Hiring Range in USD from: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral.\n\nBenefits\n\nMedical, dental, and vision insurance, including expert medical opinion.\n\nShort term disability and long term disability.\n\nLife insurance and AD&D.\n\nSupplemental life insurance (Employee/Spouse/Child).\n\nHealth care and dependent care Flexible Spending Accounts.\n\nPre‑tax commuter and parking benefits.\n\n401(k) Savings and Investment Plan with company match.\n\nPaid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non‑overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.\n\n11 paid holidays.\n\nPaid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.\n\nPaid parental leave.\n\nAdoption assistance.\n\nEmployee Stock Purchase Plan.\n\nFinancial planning and group legal.\n\nVoluntary benefits including auto, homeowner and pet insurance.\n\nCareer Level - IC5\n\nAbout Us\nOnly Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life‑saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.\n\nTrue innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.\n\nWe're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing *** or by calling 1-*** in the United States.\n\nOracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.\n•"
 },
 {
  "job_id": "h6lnb9seKQdCmyFnAAAAAA==",
  "title": "Applied Scientist - Perception (SLAM/VIO), Fauna",
  "employer": "Amazon.com Services LLC",
  "country": "us",
  "description": "DESCRIPTION\n\nWe are seeking an Applied Scientist to develop and optimize Visual Inertial Odometry (VIO) and sensor fusion systems for our intelligent robots. In this role, you will design, implement, and deploy state estimation and tracking algorithms that enable robots to understand their position and motion in real time, even in challenging and dynamic environments.\n\nYou will own the full pipeline from algorithm development through embedded deployment, ensuring that perception systems run efficiently on resource-constrained robotic hardware. You will also leverage modern machine learning approaches to push the boundaries of classical perception methods, combining learned representations with geometric techniques to achieve robust, real-time performance.\n\nThis is a deeply hands-on role. You will work directly with sensors, hardware, and real-world data, while prototyping, testing, and iterating in physical environments. The ideal candidate has strong foundations in VIO and sensor fusion, practical experience optimizing algorithms for embedded platforms, and familiarity with how modern deep learning is transforming perception.\n\nKey job responsibilities\n\n• Design and implement Visual Inertial Odometry algorithms for robust real-time state estimation on robotic platforms like Sprout\n\n• Develop multi-sensor fusion pipelines integrating cameras, IMUs, and other sensing modalities for accurate pose tracking\n\n• Optimize perception and tracking algorithms for deployment on embedded hardware (e.g., ARM, GPU-accelerated edge devices) under strict latency and power constraints\n\n• Apply modern ML-based perception techniques (learned features, depth estimation, neural odometry) to complement and improve classical geometric approaches\n\n• Build and maintain calibration, evaluation, and benchmarking infrastructure for perception systems\n\n• Collaborate with hardware, controls, and navigation teams to integrate perception outputs into the robot’s autonomy stack\n\n• Lead technical projects from research prototyping through production deployment\n\nBASIC QUALIFICATIONS\n\n• PhD, or Master's degree and 3+ years of applied research experience\n\n• Experience with any programming language such as Python, Java, C++\n\n• Hands-on experience developing and deploying Visual Inertial Odometry or visual-inertial SLAM systems\n\n• Strong understanding of multi-sensor fusion (cameras, IMUs, odometry) and state estimation (EKF, factor graphs)\n\n• Experience optimizing perception algorithms for embedded or resource-constrained hardware\n\n• Demonstrated hands-on experience with real sensor data, calibration, and physical robot platforms\n\n• Familiarity with modern ML approaches to perception (learned feature extraction, depth prediction, end-to-end odometry)\n\nPREFERRED QUALIFICATIONS\n\n• Experience leading technical initiatives and key deliverables\n\n• Publication record at major robotics or computer vision conferences (e.g., ICRA, IROS, RSS, CVPR, ECCV)\n\n• Experience with real-time systems programming and performance profiling on ARM/GPU platforms\n\n• Experience with state estimation on legged robots\n\n• Experience with stereo vision systems, camera-IMU calibration, time synchronization, and sensor characterization\n\n• Track record of shipping VIO or SLAM systems to production on physical robots at scale\n\n• Experience with NVIDIA Jetson, Qualcomm RB5, or similar embedded AI platforms\n\n• Familiarity with ROS/ROS2\n\n• Experience integrating learned perception modules (e.g., neural depth, feature matching networks) into geometric estimation pipelines\n\n• History of technical leadership and cross-functional collaboration\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\n\nUSA, NY, New York - 172,400.00 - 223,400.00 USD annually"
 },
 {
  "job_id": "XrRdbaFcw4yW3GsjAAAAAA==",
  "title": "Senior Principal Applied Scientist (OCI- GenAI VisionBiometrics)",
  "employer": "Oracle",
  "country": "us",
  "description": "# Oracle — Visionary Scientist - Computer Vision\n\n## About the team and the opportunity\n\nThe computer vision team is responsible for growing our capabilities in image analysis and recognition. Our goal is to enable customers to apply computer vision to solve their particular business problems with our assistance and expertise. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality computer vision models and services that delight our customers with the confidence that their data are safe and protected.\n\nWe are seeking a visionary scientist to spearhead computer vision initiatives and lead the technical direction of the team. You will be responsible for driving the development and implementation of cutting-edge computer vision technologies, and working with a team of world-class scientists to explore new frontiers of computer vision to enable real-world solutions.\n\nYou will lead and mentor a high-performing team of scientists, working closely with cross-functional teams to integrate computer vision capabilities into various applications and products. Identifying new opportunities for computer vision and emerging technologies will be part of your remit, as will providing technical direction and guidance to the team and driving the development of the computer vision roadmap.\n\n## Disclaimer\n\nCertain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.\n\n## Compensation\n\nUS: Hiring Range in USD from: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral.\n\nOracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.\n\n## Career Level\n\n- IC5\n\n## Benefits\n\n1. Medical, dental, and vision insurance, including expert medical opinion\n2. Short term disability and long term disability\n3. Life insurance and AD&D\n4. Supplemental life insurance (Employee/Spouse/Child)\n5. Health care and dependent care Flexible Spending Accounts\n6. Pre-tax commuter and parking benefits\n7. 401(k) Savings and Investment Plan with company match\n8. Paid time off: Flexible Vacation for eligible salaried employees; Accrued Vacation for others. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years and 18 days annually thereafter (prorated for 20–34 hours/week).\n9. 11 paid holidays\n10. Paid sick leave: 72 hours upon hire, refreshes each calendar year; unused balance carries over up to 112 hours\n11. Paid parental leave\n12. Adoption assistance\n13. Employee Stock Purchase Plan\n14. Financial planning and group legal\n15. Voluntary benefits including auto, homeowner and pet insurance\n\nThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.\n\n## Qualifications and Experience\n\n- Ph.D. in Computer Science, Electrical Engineering, or a related field with dissertation/thesis/final project centered in Computer Vision and Machine Learning and 8+ years relevant experience preferred; OR Master’s or Bachelor’s in related field with 10+ years relevant experience\n- Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences\n- Extensive experience in computer vision, deep learning, and image processing\n- Proven track record of leading research and development projects\n- Strong understanding of machine learning algorithms and architectures\n- Excellent problem-solving and analytical skills\n- Strong leadership and communication abilities\n\nIf you are passionate about pushing the boundaries of computer vision and have a proven track record of success, we encourage you to apply.\n\n## About Oracle and Inclusion\n\nOnly Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.\n\nTrue innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.\n\nWe’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request\\_mb@oracle.com or by calling 1-888-404-2494 in the United States.\n\nOracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law."
 },
 {
  "job_id": "4u_fXAqWrtqizlYuAAAAAA==",
  "title": "Lead Principal Applied Scientist - Robotics",
  "employer": "Oracle",
  "country": "us",
  "description": "**Job Description**\nThe IC5 Applied Scientist for Robotics, Perception, and Embodied AI will serve as a senior technical leader responsible for defining, prototyping, and delivering AI capabilities for commercially viable robotic systems. This role partners across science, software engineering, product, and hardware teams to identify high-impact opportunities, translate ambiguous product needs into research and engineering roadmaps, and guide end-to-end solution development from data collection and experimentation through production deployment. The scientist will lead applied research in multi-sensor fusion, real-time signals, perception, multimodal reasoning,\nreinforcement learning, and action-conditioned planning, with a strong bias for hands-on execution and full-stack delivery.\n• *Responsibilities**\n• *Key Responsibilities**\n• *Solution Identification and Strategy**\n+ Partner with science, engineering, product, and hardware leaders to identify strategic product needs where robotics, perception, and embodied AI can create measurable customer and business impact.\n+ Evaluate academic literature, industry benchmarks, robotics platforms, and commercially viable robot APIs to assess feasibility, technical difficulty, and delivery risks.\n+ Break down ambiguous robotics and AI problems into clear research plans, model architectures, data requirements, evaluation criteria, and production milestones.\n+ Set science quality standards for applied robotics workstreams, including perception accuracy, latency, robustness, safety, reliability, and operational feedback metrics.\n+ Prioritize solutions using the scientific process, including modeling approaches, evaluation techniques, data collection strategies, and risk/reward tradeoffs.\n• *Applied Research and Model Development**\n+ Lead the design and execution of research programs and POCs for sensors, multi-sensor fusion, real-time signal processing, and perception systems.\n+ Develop and guide approaches for object detection, tracking, activity recognition, scene understanding, and related perception capabilities in real-world environments.\n+ Advance multimodal AI systems that combine signals such as camera, depth, lidar, audio, telemetry, proprioception, and task context.\n+ Apply reinforcement learning, action-conditioned planning, decision-making, and reasoning methods to enable robot behaviors that are robust, measurable, and product-relevant.\n+ Define dataset strategy, data quality criteria, labeling approaches, simulation or synthetic data opportunities, and evaluation protocols for robotics and embodied AI use cases.\n+ Guide model training, fine-tuning, optimization, inference design, and compute/latency tradeoffs for real-time or near-real-time deployment scenarios.\n• *Solution Delivery and Production Integration**\n+ Lead full-stack execution across experimentation, data pipelines, model development, evaluation, deployment integration, and production monitoring.\n+ Partner closely with software engineering, machine learning engineering, hardware teams, and product stakeholders to integrate AI capabilities into robotic systems and services.\n+ Evaluate and review high-complexity code, establish best practices for repositories, version control, code review, documentation, testing, and delivery readiness.\n+ Define operational metrics and user feedback loops to assess delivered solutions in production and inform future technical strategy.\n+ Serve as an escalation point for complex robotics, AI, perception, and systems integration issues, driving root-cause analysis and durable solutions.\n• *Research Leadership and Influence**\n+ Demonstrate thought leadership in at least one business-critical area such as robot perception, multimodal systems, sensor fusion, reinforcement learning, or embodied AI.\n+ Translate research insights into clear technical recommendations, patents, white papers, design documents, demos, or conference-quality publications where appropriate.\n+ Mentor and guide scientists and engineers, raising the bar for applied research rigor, experimentation quality, and production readiness.\n+ Establish productive collaborations with internal teams, external research groups, academic partners, or commercial robotics ecosystem partners where relevant.\n• *Core Competencies**\n+ Bias for action with a strong hands-on orientation; able to move from ambiguous idea to prototype, evaluation, and production path quickly.\n+ Ability to execute full-stack AI workflows spanning data, experimentation, modeling, evaluation, APIs, deployment, and feedback loops.\n+ Strong cross-functional collaboration with hardware teams, software engineering, ML engineering, product, operations, and leadership stakeholders.\n+ Excellent judgment in balancing scientific rigor, product urgency, systems constraints, safety, reliability, and customer impact.\n+ Clear executive-level communication; able to explain complex robotics and AI tradeoffs to technical and non-technical audiences.\n• *Required Technical Expertise**\n+ Deep experience in machine learning, artificial intelligence, computer vision, perception, robotics, sensor fusion, real-time signal processing, or a closely related field.\n+ Experience with perception capabilities such as object detection, tracking, activity recognition, scene understanding, localization, or state estimation.\n+ Experience designing multimodal AI systems that combine heterogeneous data sources and reason over context, actions, and temporal signals.\n+ Practical knowledge of reinforcement learning, planning, sequential decision-making, robotics control interfaces, or action-conditioned model behavior.\n+ Strong programming capability in applicable languages such as Python and/or C++, and experience with modern ML frameworks and production-oriented software practices.\n+ Familiarity with APIs, SDKs, or integration patterns from commercially viable robotics platforms.\n• *Minimum Qualifications**\n+ 15 years of experience in data science, machine learning, artificial intelligence, robotics, computer vision, signal processing, statistical modeling, data mining, or a related field; OR\n+ Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Physics, Robotics, Electrical Engineering, Mechanical Engineering, or related field and 11 years of relevant experience; OR\n+ Master's degree in one of the above or related fields and 9 years of relevant experience; OR\n+ Doctorate in one of the above or related fields and 7 years of relevant experience.\n+ 7+ years of hands-on experience with Python, C++, PyTorch, and ROS for software development, machine learning, and robotics applications.\n+ Demonstrated technical leadership guiding teams and stakeholders toward strategic goals.\n• *Preferred Qualifications**\n+ 16 years of experience in data science, machine learning, artificial intelligence, robotics, computer vision, perception, signal processing, or related field; OR equivalent degree-based experience aligned to Oracle IC5 guidelines.\n+ 2 years of leadership experience with or without direct reports, including technical direction, mentoring, project planning, or cross-functional execution.\n+ 2 years of experience working with operating budgets and/or project financials, where applicable.\n+ 5+ years of experience creating technical publications, patents, white papers, peer-reviewed conference or journal articles, or equivalent technical documentation.\n+ Demonstrated experience delivering robotics, embodied AI, perception, or multimodal systems from research concept into production or customer-facing environments.\n+ Hands-on experience with commercial robot platforms, robot SDKs/APIs, simulation environments, telemetry pipelines, and real-time deployment constraints.\n• *Success Profile**\n+ Builds credibility as a senior applied science leader who can bridge research depth with pragmatic product delivery.\n+ Operates comfortably across sensors, models, APIs, hardware/software boundaries, and executive decision-making forums.\n+ Raises the bar for AI adoption in robotics by creating reusable patterns, evaluation standards, and scalable delivery practices.\nDisclaimer:\n• *Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.**\n• *Range and benefit information provided in this posting are specific to the stated locations only**\nUS: Hiring Range in USD from: $158,300 to $355,400 per annum. May be eligible for bonus, equity, and compensation deferral.\nOracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.\nCandidates are typically placed into the range based on the preceding factors as well as internal peer equity.\nOracle US offers a comprehensive benefits package which includes the following:\n1. Medical, dental, and vision insurance, including expert medical opinion\n2. Short term disability and long term disability\n3. Life insurance and AD&D\n4. Supplemental life insurance (Employee/Spouse/Child)\n5. Health care and dependent care Flexible Spending Accounts\n6. Pre-tax commuter and parking benefits\n7. 401(k) Savings and Investment Plan with company match\n8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.\n9. 11 paid holidays\n10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.\n11. Paid parental leave\n12. Adoption assistance\n13. Employee Stock Purchase Plan\n14. Financial planning and group legal\n15. Voluntary benefits including auto, homeowner and pet insurance\nThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.\nCareer Level - IC5\n• *About Us**\nOnly Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.\nTrue innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.\nWe're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.\nOracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law."
 },
 {
  "job_id": "EBg8nCUWuNba07t1AAAAAA==",
  "title": "Senior Applied Scientist - Machine Learning Systems Engineer- Photoshop",
  "employer": "Adobe",
  "country": "us",
  "description": "The Opportunity\n\nPhotoshop ART is seeking a Senior Machine Learning (ML) Systems & Efficiency Engineer to join our R&D team focused on delivering practical, production-ready improvements in inference performance, latency, and cost efficiency across image editing applications. This role sits at the intersection of model architecture, systems, inference runtimes, and services, with a clear mandate: deliver high-quality ML systems at substantially lower cost and higher efficiency. Individuals in this role are expected to have deep expertise in areas such as Artificial Intelligence (AI), ML systems, and computer vision. Strong preference will be given to candidates with experience in distributed inference, multimodal model profiling, and performance optimization. You will work closely with research, product, and infrastructure teams to influence model design decisions, improve GPU utilization, and build scalable, cost-aware ML systems deployed in production.\n\nThis is a hands-on, high-leverage role where a single engineer can drive outsized impact, potentially saving millions of dollars in compute costs. The ideal candidate will have a strong interest in developing practical innovations that advance Adobe products.\n\nJob Responsibilities\n• Inference & Serving Optimization: Design and optimize high-throughput, low-latency inference systems. Optimize model architectures to improve deployment and runtime efficiency using techniques such as distillation, pruning, quantization, and Mixture-of-Experts (MoE). Implement advanced serving strategies including batching, caching (KV, semantic, embedding), quantization (FP8/INT8), and distributed inference strategies including data, tensor, pipeline, expert, and hybrid parallelism, with a focus on balancing computation and communication efficiency. Explore training or fine-tuning approaches when they directly lead to more efficient inference, simpler deployment, or improved runtime performance.\n• Kernel Development & System Acceleration: Write and maintain high-performance GPU kernels using Triton or CUDA to accelerate custom model layers and critical workloads. Improve GPU utilization through kernel fusion, asynchronous pipelines, and optimized scheduling strategies.\n• Performance Profiling & System Optimization: Conduct deep performance analysis using tools such as PyTorch Profiler and NVIDIA Nsight to identify bottlenecks in compute, memory, and communication. Optimize end-to-end system performance across inference workloads.\n• Distributed Systems & Infrastructure Collaboration: Partner with infrastructure teams to design scalable and reliable distributed serving systems across heterogeneous hardware environments (e.g., A100, H100, B200, CPU). Contribute to resource scheduling, GPU pooling, and elastic workload management.\n• Cost-Aware ML Engineering: Establish and track efficiency metrics such as cost per million inferences. Build benchmarking frameworks and dashboards to guide tradeoffs among quality, latency, and compute cost, enabling data-driven system and product decisions.\n• Technical Leadership & Best Practices: Serve as a trusted technical advisor to research and product teams on efficiency tradeoffs. Define best practices for scalable and cost-efficient ML development and mentor engineers on performance-oriented systems design.\n\nWhat You’ll Need to Succeed\n• Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning systems, distributed systems, or high-performance computing.\n• Distributed Inference & Serving Expertise: Hands-on experience implementing and scaling large-scale inference or serving workloads using distributed frameworks and runtime systems (e.g., Triton, vLLM, SGLang, xDiT, or similar). Experience applying inference compilation and optimization tools (e.g., TensorRT, ONNX Runtime, AOTI), including techniques such as operator fusion and graph-level optimization, with a strong understanding of system-level performance tradeoffs.\n• GPU & Performance Engineering Skills: Strong understanding of GPU architecture (e.g., memory hierarchy, compute throughput, communication bandwidth) and practical experience diagnosing performance bottlenecks across compute, memory, and I/O subsystems.\n• Programming & Systems Development: Proficiency in Python and C++, with experience building high-performance or distributed systems. Familiarity with CUDA or Triton for performance-critical workloads is highly desirable.\n• Data-Driven Engineering Mindset: Demonstrated ability to make engineering decisions based on rigorous measurement and benchmarking, with a focus on improving system efficiency, scalability, and reliability in production environments.\n\nPreferred Experience\n• ML Frameworks & Tooling: Experience contributing to or maintaining performance- or efficiency-focused libraries or systems. Hands-on experience with:\n• Open-source serving frameworks (e.g., vLLM, SGLang, xDiT, or similar)\n• Inference compilation tools (e.g., TensorRT, Triton, AOTI, or equivalent, operation fusion, or graph-level optimization)\n• GPU profiling and performance analysis tools (e.g., PyTorch Profiler, NVIDIA Nsight, CUDA tooling)\n• Distributed Systems & Communication: Exposure to low-level communication libraries such as NCCL and a practical understanding of collective operations (e.g., AllReduce, AllGather) in large-scale distributed serving environments.\n• Containerization & Cluster Operations: Familiarity with containerized workflows (Docker, Kubernetes) and job scheduling in headless Linux environments, including experience operating production ML workloads on shared GPU clusters.\n• Model Architectures: Working knowledge of model architectures such as Transformers, multimodal models, Mixture-of-Experts (MoE), or Diffusion Transformers (DiT).\n\nAbout Adobe\n\nAdobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.\n\nOur 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.\n\nLet’s Adobe together\n\nAt Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.\n\nAdobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.\n\nAdobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.\n\nAI Use Guidelines for Interviews:\nOur interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.\n\nAt Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.\n\nExpected Pay Range:\nOur compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $164,000 -- $313,300 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.\n\nIn California, the pay range for this position is $216,400 - $313,300\nIn Washington, the pay range for this position is $204,800 - $296,600\n\nAt Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).\n\nIn addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.\n\nState-Specific Notices:\n\nCalifornia:\n\nFair Chance Ordinances\n\nAdobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.\n\nColorado:\n\nApplication Window Notice\n\nIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.\n\nMassachusetts:\n\nMassachusetts Legal Notice\n\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability."
 },
 {
  "job_id": "Pb-ImHPB2v5l_F9rAAAAAA==",
  "title": "Senior Applied Scientist, Document Understanding",
  "employer": "USA018 Thomson Reuters Holdings Inc.",
  "country": "us",
  "description": "Senior Applied Scientist, Document Understanding About the Role This is an applied science position focused on designing, building, and deploying production-grade document understanding systems that power Westlaw, PracticalLaw, and CoCounsel. You will work across semantic chunking, document enrichment, and knowledge graph construction for complex legal, tax, and accounting content — delivering foundational intelligence that multiple product teams depend on at scale. About You You hold a PhD or Master's in Computer Science, AI, NLP, or a related field, with 5+ years of post-degree industry experience shipping document understanding, information extraction, or knowledge graph systems into production. You have hands-on depth across model development, distillation, evaluation, and deployment. You work independently, lead through influence in an applied research setting, and measure success by what ships and performs in production. What You'll Do Design and deploy semantic chunking models for lengthy, non-uniformly structured legal documents with adjustable granularity across use cases Build document enrichment systems that classify documents according to legal and customer-defined taxonomies and extract rich metadata Develop LLM-based knowledge graph construction pipelines that extract and link citations, entities, and legal concepts across diverse legal content Build scalable synthetic data generation systems for model training, multi-hop query simulation, and hallucination-free answer generation Apply knowledge distillation techniques to compress large models into latency-constrained, production-ready SLMs Design evaluation frameworks — component-level and end-to-end — using expert annotation and synthetic data Drive independent technical decisions on chunking strategy, classification approach, knowledge extraction methods, and multi-document reasoning architecture Partner with engineering on delivery, reliability, and scale across multiple product lines Contribute to published research at venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, and KDD, and to intellectual property Required Qualifications PhD or Master's in Computer Science, AI, NLP, or a related field 5+ years of post-degree industry experience shipping document understanding, information extraction, or knowledge graph systems into production — not research-only experience Publications at ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent Experience leading through influence in an applied research setting Production Python and experience with PyTorch, Hugging Face Transformers, and DeepSpeed Hands-on production depth required in: Document layout analysis and semantic chunking beyond fixed-size or paragraph-based methods Hierarchical, multi-label document classification with domain-specific and customer-defined schemas Entity recognition and linking, relation extraction, citation parsing, and knowledge graph construction from unstructured text LLM-based information extraction, few-shot and multi-task learning, and post-training Knowledge distillation, model compression, and SLM deployment under latency constraints Synthetic data generation for NLP: query-answer generation with verification and scalable data augmentation Annotation workflow design and evaluation framework development for document understanding tasks Preferred Qualifications Legal document understanding, legal information extraction, or legal AI applications Complex document structures common in legal content: nested hierarchies, cross-references, non-uniform formatting, and embedded elements Retrieval, QA, or analysis systems over large document collections Knowledge graph frameworks for legal or enterprise applications RAG and agentic workflows for enterprise knowledge systems AzureML or AWS SageMaker #LI-LP2 New Position: This position is open due to an existing vacancy to support our evolving business needs. What’s in it For You? Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Our use of AI within the recruitment process Thomson Reuters utilizes Artificial Intelligence (AI) to support parts of our global recruitment process. Unless you opt-out, our AI system will assess the information provided by you and compare it to the requirements listed for the role, and present the result to our recruitment personnel for further review. The AI system acts as a supporting tool, but there is always a human making the decision if you will be considered for the role. In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan. Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $127,400 USD - $236,600 USD. For Ontario, Canada, the base compensation range for this role is $100,000 CAD - $145,000 CAD. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance. This job posting will close 09/30/2026. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com At Thomson Reuters, we’re not riding the AI wave — we’re reshaping the future of professional work across law, tax, compliance, and journalism. Here, you will collaborate with smart, ambitious people who thrive on solving complex problems, delivering market-leading solutions, and innovating with curiosity and care. Learn more about a career with us 📖 Our Employer Story 🔍 Inside Thomson Reuters Blog 🏆 Awards and Recognition 🌱 Join Our Talent Community ✅ Protect Your Job Search Future-ready careers Our focus on a skills-first approach ensures you’ll have the tools and knowledge to grow, lead, and thrive in an AI-enabled future."
 }
]