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# Computer Vision Engineer

- **Company:** Facebook Inc.
- **Location:** Burlingame, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Gesture Recognition, Computer Vision, Machine Learning, Smart Devices, Software Deployment, Machine Learning Operations
- **Published:** July 10, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27838524/Computer-Vision-Engineer-California-Burlingame-7418

## About the Role

* Experience shipping ML models to production
 * Background in computer vision or machine learning, with focus on areas such as gesture recognition, pose estimation, or object tracking
 * Experience with model optimization for edge/on-device deployment
 * Track record of cross-functional collaboration to deliver ML-powered features

Preferred Qualifications:

 * Experience deploying ML models on edge devices
 * Experience with gesture recognition, hand tracking, or human pose estimation
 * Background in real-time inference, model compression, or quantization techniques
 * 5+ years of industry experience in machine learning or computer vision
 * Publication track record at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML

## Description

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production-you'll take ML models from development through deployment, collaborating across teams to ship gesture-based interactions on Quest and Meta Glasses. This is not a pure research position; we're looking for someone who thrives at turning cutting-edge ML into real products that reach millions of users., * Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices

 * Collaborate with cross-functional teams including research, hardware, product, and platform engineering to integrate models into shipping products
 * Optimize ML models for on-device performance, balancing accuracy, latency, and power constraints
 * Partner with Reality Labs Research (RL-R) to translate research breakthroughs into production-ready solutions
 * Define technical direction and mentor engineers on ML productization best practices


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