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# Computer Vision Research Scientist

- **Company:** Facebook Inc.
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, 3D Visualization, Computer Vision, C++ (Programming Language), Computer Engineering, Graphics Software, Image Quality, Python (Programming Language), Sensor Fusion, Pytorch, On-device Inference, Deep Learning, Information Technology, Low Latency
- **Published:** October 10, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28097347/Computer-Vision-Research-Scientist-Washington-Redmond-7418

## About the Role

* 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

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

## Description

* 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