Computer Vision Engineer

**Summary:** 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. **Required Skills:** Computer Vision Engineer Responsibilities: 1. Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices 2. Collaborate with cross-functional teams including research, hardware, product, and platform engineering to integrate models into shipping products 3. Optimize ML models for on-device performance, balancing accuracy, latency, and power constraints 4. Partner with Reality Labs Research (RL-R) to translate research breakthroughs into production-ready solutions 5. Define technical direction and mentor engineers on ML productization best practices **Minimum Qualifications:** Minimum Qualifications: 6. Experience shipping ML models to production 7. Background in computer vision or machine learning, with focus on areas such as gesture recognition, pose estimation, or object tracking 8. Experience with model optimization for edge/on-device deployment 9. Track record of cross-functional collaboration to deliver ML-powered features **Preferred Qualifications:** Preferred Qualifications: 10. Experience deploying ML models on edge devices 11. Experience with gesture recognition, hand tracking, or human pose estimation 12. Background in real-time inference, model compression, or quantization techniques 13. 5+ years of industry experience in machine learning or computer vision 14. Publication track record at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML **Public Compensation:** $183,997/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 accommodations-ext@meta.com.