Computer Vision Engineer

Meta; Burlingame (CA); On-site; USD 183,997 - 257,000; Full time

Job summary

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for AR/VR devices. You will take ML models from development through deployment, collaborating across teams to ship gesture-based interactions on Quest and Meta Glasses.

This role blends research and production, focusing on turning cutting-edge ML into real products that reach millions of users while balancing latency, power, and accuracy in on‑device environments.

Qualifications

• BS in CS/CE/ML or equivalent practical experience.
• Experience shipping ML models to production.
• Background in computer vision or ML with gesture recognition, pose estimation, or tracking.

Responsibilities

• Own end‑to‑end development of gesture recognition ML models from prototyping to deployment.
• Collaborate with research, hardware, product and platform teams to ship features.
• Optimize models for on‑device performance balancing accuracy, latency and power.
• Partner with RL-R to translate research into production solutions.

Skills

Gesture recognition

Edge deployment

Cross-functional collaboration

Prototype to production

Education

Bachelor's in Computer Science

Bachelor's in CS/CE/ML or related

Job description

Computer Vision Engineer# Computer Vision EngineerBurlingame, CA Computer Vision+ 1 moreApply nowMeta 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.---## Computer Vision Engineer Responsibilities* 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## Minimum Qualifications* Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience* Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or equivalent practical experience* 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* MS or PhD in Computer Science, Machine Learning, Computer Vision, or related field* Publication track record at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML---## About MetaMeta 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.For those who live in or expect to work from California if hired for this position, please click here for additional information.United States of America: $183,997/year to $257,000/year + bonus + equity + benefitsIndividual 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.## Equal Employment OpportunityMeta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.