Computer Vision Research Scientist
Job in
Redmond, King County, Washington, 98052, USA
Listed on 2026-10-13
Listing for:
Meta
Full Time
position Listed on 2026-10-13
Job specializations:
-
Software Development
Computer Science, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
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.
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
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 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
- 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 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
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