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Research Engineer, Synthetic Data Generation

Job in Burlingame, San Mateo County, California, 94012, USA
Listing for: Meta
Full Time position
Listed on 2026-10-19
Job specializations:
  • Engineering
    AI Engineer (Applied/Software), Computer Science, AI Business & Operations, Software Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 280000 USD Yearly USD 180000.00 280000.00 YEAR
Job Description & How to Apply Below
# Research Engineer, Synthetic Data Generation Burlingame, CA Artificial Intelligence+ 1 more Apply nowMeta 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.

---## Research Engineer, Synthetic Data Generation Responsibilities
* Explore, innovate, and leverage novel technologies, from internal and external publications, to improve the realism, diversity, cont rollability, 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
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