Computer Vision Research Scientist

Meta; Burlingame (CA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is building the next generation of computer vision technology for wearables. You will own a core technical area spanning reconstruction and generative enhancement and drive it from research through production on wearables.

Responsibilities include advancing 3D visual representations, optimizing for on-device delivery, and leading image quality improvements while coordinating with product and platform teams to ship features. Strong C++ and Python plus deep learning experience are required.

Qualifications

• 6+ years building production computer vision or graphics systems.
• Deep expertise in geometric vision: SfM, SLAM/VIO, multi-view stereo, calibration, bundle adjustment, or learned depth.
• Proven experience training and deploying deep learning models (PyTorch or equivalent).
• Expert-level C++ and strong Python.
• Demonstrated record of taking research from prototype to shipped product.

Responsibilities

• Own a core area of our reconstruction stack and set its technical direction.
• Advance 3D visual representations, optimizing them for on-device delivery and representation.
• Develop image composition and correction techniques.
• Lead generative quality improvement for real-world capture.
• Optimize models for on-device inference under compute, memory, latency, thermal, and power constraints, and partition work between device and cloud.
• Define image quality gates.
• Own training data strategy.
• Partner with product and platform teams to take prototypes through dogfooding and experimentation to shipped features.
• Shape the technical roadmap for your area and influence it across organizational boundaries.
• Deliver production-quality code, review others' work, and raise the engineering bar.

Skills

C++

Python

PyTorch

Geometric Vision

On-device ML

Tools

C++

Python

PyTorch

Job description

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.

Computer Vision Research Scientist Responsibilities

• Own a core area of our reconstruction stack and set its technical direction
• Advance 3D visual representations, optimizing them for on-device delivery and representation
• Develop image composition and correction techniques
• Lead generative quality improvement for real-world capture
• Optimize models for on-device inference under hard compute, memory, latency, thermal, and power constraints, and partition work between device and cloud
• Define image quality gates
• Own training data strategy,
• Partner with product and platform teams to take prototypes through dogfooding and experimentation to shipped features
• Shape the technical roadmap for your area and influence it across organizational boundaries
• Deliver production-quality code, review others' work, and raise the engineering bar

Minimum Qualifications

• 6+ years building production computer vision or graphics systems
• Deep expertise in geometric vision: SfM, SLAM/VIO, multi-view stereo, calibration, bundle adjustment, or learned depth
• Proven experience training and deploying deep learning models (PyTorch or equivalent)
• Expert-level C++ and strong Python
• Demonstrated record of taking research from prototype to shipped product

Preferred Qualifications

• Hands-on experience with 3D scene representations
• Track record of technical leadership setting direction, mentoring, and driving multi-team efforts
• Experience with generative image and video models
• Strong publication record at top-tier venues (CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, 3DV)
• Experience with camera ISP pipelines, computational photography, or multi-sensor fusion

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today--beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affinity 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 [e-mail].

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

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.