We explore, develop and deliver cutting-edge technologies that serve as the foundations for the current and future Reality Labs products including VR, AR, smart-glasses, AI agents, and robotics. We are committed to driving the state-of-the-art forward through innovation across ML perception in 2D and 3D, for both primitives (e.g. depth, segmentation, and semantic keypoints) as well as high-level (e.g. shape inference, 3D reconstruction, context/semantic understanding).
The ideal candidate will help us develop the next generation of spatial and contextualized AI, and lay the foundations for a new computing paradigm that is built from the ground up to understand the physical world from egocentric devices. We are looking for experts in areas such as vision-language models, agentic AI, learning from demonstration, and representation learning.
The potential to change the world is immense -- and we're just getting started. We encourage you to apply and join us!Computer Vision/Machine Learning Research Scientist (Spatial AI) Responsibilities
- Design and development of novel machine learning algorithms to solve problems in areas such as: vision-language models, agentic AI for multimodal systems, foundation models, 3D reconstruction with deep learning methods, depth estimation, semantic segmentation, 2D and 3D semantic key point detection, and object tracking
- Define, build, and benchmark new capabilities needed for the next generation of AI
- Communicate cross-functionally
- Drive the team's goals and technical direction to pursue technical opportunities
- Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production
- PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Natural Language Understanding, or equivalent practical experience
- Significant industry experience in relevant areas
- Leadership experience driving high-risk, high reward projects scientifically, including managing a team of research scientists and communicating to leadership
- Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at conferences such as CVPR, ICCV, NeurIPS, or similar
- Experience handling concurrent projects where timelines may be ambiguous or changing, and prioritizing by balancing required effort with resulting impact
- Experience in Python
- Experience with distributed systems or on-device algorithm development
- Experience communicating research for public audiences of peers
- Experience working and communicating cross-functionally in a team environment
- Significant industry experience in relevant robotics related research areas, preferably large multimodal models, agentic AI, 3D reconstruction with deep learning methods
- Leadership and interpersonal communication experience in working across many disciplines, driving best practices, and mentorship
- Experience with deep learning frameworks (such as pytorch, tensorflow) and Python
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
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