Meta Reality Labs Research (RL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Surreal Vision group at RL Research is seeking exceptional research scientists to solve the next generation of research challenges on the path to building future machine perception enabled technologies. The aim of this role is to develop and advance computer vision algorithms and SW systems for real-time and offline SLAM, visual odometry, localization, 3D reconstruction, and object understanding.
Research Scientist, 3D Computer Vision & Machine Perception Responsibilities:
- Research, develop and prototype advanced software technologies in the domain of 3D reconstruction, scene understanding, object detection, SLAM and Mapping
- Publish research results in top-tier journals and at leading international conferences.
- Collaborate with team members throughout the lifetime of a project, from early research through prototyping
- Working with product partners to deploy research into Meta's products.
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- PhD in the field of computer vision, robotics, ML or equivalent
- Background in advanced geometric computer vision, including 3D reconstruction, scene understanding, object detection, SLAM and Mapping
- 5+ years experience with a mastery of modern features in C++ or Python. Experience with ML frameworks such as PyTorch
- Experience designing machine learning algorithms, including experience creating software for data loading, training, and inference of novel ML architectures
- Interpersonal experience: cross-group and cross-culture collaboration
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, BMVC, ICRA, IROS, NeurIPS, ICLR, or or SIGGRAPH
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.)
- Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry
- 3+ years of industry or post-doc experience as research scientist
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.