Computer Vision Engineer

Meta

$130K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field
  • Background in computer vision and image processing
  • Experience with computer graphics and modeling
  • Knowledge of imaging systems and optics simulation
  • Direct experience in machine learning and deep learning
  • Previous mentoring and leadership experience

Responsibilities

  • Lead development of CV/ML solutions for eye tracking simulation
  • Explore novel approaches to improve tracking model accuracy
  • Contribute to data-driven modeling of eye imaging
  • Drive collaborations across physics, ML, hardware, and design teams
  • Participate in recruiting and mentoring of engineering staff

Benefits

  • Collaborative work environment with cross-functional teams
  • Opportunity to innovate in cutting-edge AR/VR technology
  • Focus on professional development and mentoring
  • Participation in recruitment and talent growth
  • Engagement with diverse technical challenges
Full Job Description
Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to lead projects on feature-based eye tracking and human eye simulation to power AR/VR eye tracking solutions in our products including the Quest line. This role collaborates with cross-functional teams on image simulation, core AI, computer graphics, machine vision research, and HW design. The immediate team for this role is composed of Computer Vision, Machine Learning and SW Engineers.

Responsibilities

Lead development, refinement, and launch of CV/ML solutions for explicit and NERF-based simulation of eye and upper face images used in training of AR/VR eye tracking models and system evaluation
• Explore, innovate, and leverage novel approaches, from internal and external sources, to improve the accuracy, performance, and generalizability of geometric and explicit optical models used in eye tracking pipelines
• Contribute to data-driven and geometric modeling of eye imaging including NERF and Gaussian splatting for novel view synthesis, 3D graphical rendering of eye features, and classical feature and keypoint detection and extraction from eye and face images
• Drive cross-functional collaborations with partner teams including but not limited to physics simulation, ML modeling, hardware development, and product design
• Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors

Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Background in computer vision, classical image processing, and 2D/3D spatial data analysis
• Experience with computer graphics, and physics-based/geometric modeling
• Working knowledge of imaging systems and optics simulation
• Direct background in machine learning, deep learning, neural networks and similar data-driven techniques
• Experience mentoring and acting as project technical lead

Preferred Qualifications
• Experience with latest graphics techniques such as NERF and Gaussian splatting
• Experience in eye and face simulation and image generation
• Knowledge of eye tracking techniques and models
• Master's or PhD in engineering, physics, or computer science
• Background in AR/VR
• Familiarity with procedural rendering engines, ray tracing, and path tracing

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