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.

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 Meta:

Meta 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.

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 [email protected].

$183,997/year to $257,000/year + bonus + equity + benefits

Individual 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.