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Computer Vision Research Scientist

Meta

Burlingame, CAJob$184–257K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$184–257K/yr
Location
Burlingame, CA
Work Authorization
Not specified

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Job overview

The Computer Vision Research Scientist will own a core technical area in reconstruction and generative enhancement for wearable computer vision, guiding it from research through production. The role advances 3D representations, image composition and correction, and generative quality for real-world capture, while optimizing models for on-device constraints. It also shapes technical direction and roadmaps, and partners with product and platform teams to deliver shipped features.

Skills & qualifications

RequiredNice to have

Skills

Computer VisionGeometric VisionSfMSLAM/VIOMulti-View StereoCalibrationBundle AdjustmentLearned DepthDeep LearningPyTorchC++Python3D Scene RepresentationsTechnical LeadershipMentoringGenerative Image and Video ModelsCamera ISP PipelinesComputational PhotographyMulti-Sensor Fusion

Qualifications

Bachelor's in Computer Science, Computer Engineering, or Related Field or Equivalent ExperiencePhD in CS, EE, Robotics, Applied Math, or Related Field or Equivalent Experience6+ Years Production CV or Graphics SystemsShipped Product Research RecordTop-Tier Venue Publications

Full job description

Summary:

We're building the next generation of computer vision technology for wearables. You'll own a core technical area spanning reconstruction and generative enhancement, and drive it from research through production on wearables.

Required Skills:

Computer Vision Research Scientist Responsibilities:

  1. Own a core area of our reconstruction stack and set its technical direction

  2. Advance 3D visual representations, optimizing them for on-device delivery and representation

  3. Develop image composition and correction techniques

  4. Lead generative quality improvement for real-world capture

  5. Optimize models for on-device inference under hard compute, memory, latency, thermal, and power constraints, and partition work between device and cloud

  6. Define image quality gates

  7. Own training data strategy,

  8. Partner with product and platform teams to take prototypes through dogfooding and experimentation to shipped features

  9. Shape the technical roadmap for your area and influence it across organizational boundaries

  10. Deliver production-quality code, review others' work, and raise the engineering bar

Minimum Qualifications:

Minimum Qualifications:

  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

  2. PhD in Computer Science, Electrical Engineering, Robotics, Applied Math, or a related field with a computer vision, graphics, or ML focus — or equivalent practical experience

  3. 6+ years building production computer vision or graphics systems

  4. Deep expertise in geometric vision: SfM, SLAM/VIO, multi-view stereo, calibration, bundle adjustment, or learned depth

  5. Proven experience training and deploying deep learning models (PyTorch or equivalent)

  6. Expert-level C++ and strong Python

  7. Demonstrated record of taking research from prototype to shipped product

Preferred Qualifications:

Preferred Qualifications:

  1. Hands-on experience with 3D scene representations

  2. Track record of technical leadership setting direction, mentoring, and driving multi-team efforts

  3. Experience with generative image and video models

  4. Strong publication record at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, 3DV)

  5. Experience with camera ISP pipelines, computational photography, or multi-sensor fusion

Public Compensation:

$184,000/year to $257,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].

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