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
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 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