Domain Adaptation Machine Learning Engineer for Synthetic Data

Main Location
Menlo Park, CA, United States
Jobs

The Reality Labs team at Facebook is helping people around the world come together and connect through world-class Augmented and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, AR/VR is committed to driving the state of the art forward through relentless innovation. Our teams explore, develop, and deliver new cutting-edge technologies that serve as the foundation of current and future AR/VR products. As a Machine Learning engineer in FRL, you will help build simulation tools and synthetic data capabilities which are used for developing, training and validating state-of-the-art computer vision and deep learning algorithms that power every FRL product. This role is ideal for someone passionate about AR/VR, machine learning and creating a high fidelity simulation of the real world.

  • Lead and execute applicative research on domain adaptation of synthetic data for a wide variety of computer vision tasks (e.g. detection, tracking, segmentation)
  • Apply respective models into FRLs data generation pipeline and achieve SOTA photorealism
  • Collaborate with cross-functional engineering and research teams in computer vision, machine learning, graphics and art
  • Follow the latest deep learning research and guide the team plan regarding R&D priorities

MINIMUM QUALIFICATIONS

  • MSc in Computer Science or related field, or equivalent practical experience
  • Knowledge of the fundamentals of deep learning and computer vision

PREFERRED QUALIFICATIONS

  • MSc in Computer Science or related field, or equivalent practical experience
  • Knowledge of the fundamentals of deep learning and computer vision

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

Mission
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Domain Adaptation Machine Learning Engineer for Synthetic Data
Facebook, Inc.