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Computer Vision Engineer

United States, Burlingame Employment contract 183997.00 - 257000.00 USD / Year · Job Posted July 13, 2026
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Job 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.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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

What we offer

  • bonus
  • equity
  • benefits
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