Computer Vision Engineer

Burlingame, CA Until 9/7/2026 5+ years exp H-1B sponsor history First posted July 9, 2026 Last posted July 9, 2026
Job description

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.

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

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 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 this role

Summary

Develop and deploy gesture recognition ML models for AR/VR devices.

Job title

Computer Vision Engineer

Experience level

5+ years

Minimum experience

5+ years exp

Industry

software

Location requirements

Burlingame, CA; remote work not specified.

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

machine learningcomputer visionmodel optimizationedge deploymentgesture recognition

Preferred skills

real-time inferencemodel compressionquantization techniquescross-functional collaboration

Specializations

computer visiongesture recognitionpose estimationobject tracking
Locations

Structured locations inferred from the posting.

Burlingame, CA, USA

Work arrangement unknown City