Research Engineer, Synthetic Data Generation

About the job

Meta Reality Labs is looking for a lead computer vision engineer to drive synthetic data generation and simulation for our AR/VR products, including the Quest line. This role will contribute to the creation of next-generation AR/VR interaction technologies in a cross-functional team of software, infra, computer vision, machine learning, simulation, and AI image generation engineers. This role will leverage expertise in computer vision, synthetic data, and AI-based image generation to contribute to ML models shipped in Meta AR/VR products. 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 Software Engineers. We work cross-functionally with teams across multiple disciplines, such as simulation, AR/VR optics, Reality Labs Research, silicon, and sensors, to design and develop novel ML solutions tailored for the requirements and constraints of each particular device.

Responsibilities

Explore, innovate, and leverage novel technologies, from internal and external publications, to improve the realism, diversity, controllability, and generalizability of image synthesis, including techniques to enhance appearance and geometric realism, conditional image generation based on specific conditions or constraints, such as metadata, text-based categories, image masks, or multiple input modalities, and controllable image generation with manipulation of specific attributes like style and appearance Hands-on contribution to synthetic image generation using deep generative models, computer graphics, or physics-based simulation Tech lead for development and launch of CV/ML solutions for generating and synthesizing images used in the training of AR/VR models and system design Drive cross-functional collaborations with partner teams, including but not limited to, Reality Labs Research, simulation, data systems, and Meta Superintelligence Lab Co-own strategic planning, OKR setting, and roadmap generation for synthetic data and other R&D initiatives Contribute to recruitment, mentoring, onboarding, and supporting the professional development of ML engineers/scientists, interns, and contractors Optimize machine learning models for performance, scalability, and maintainability Collaborate with other engineers and data scientists to develop and deploy machine learning solutions