Computer Vision Engineer

Meta Meta · Big Tech · Burlingame, CA

Machine Learning Engineer to drive the productization of gesture recognition models for AR/VR devices, taking ML models from development through deployment and optimizing for on-device performance.

What you'd actually do

  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

Skills

Required

  • Machine Learning
  • Computer Vision
  • gesture recognition
  • pose estimation
  • object tracking
  • model optimization
  • on-device deployment
  • edge devices
  • real-time inference
  • model compression
  • quantization

Nice to have

  • MS or PhD
  • publication track record

What the JD emphasized

  • shipping ML models to production
  • on-device performance
  • edge/on-device deployment
  • deploying ML models on edge devices
  • real-time inference

Other signals

  • shipping ML models
  • on-device performance
  • real products