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About the role
Computer Vision/Machine Learning Research Scientist (Spatial AI) at Meta
Required Skills
pythonpytorchtensorflowcomputer visionmachine learning3d reconstructiondeep learningvision-language modelsai agents
About the Role
The Computer Vision/Machine Learning Research Scientist (Spatial AI) role at Meta's Reality Labs involves developing cutting-edge AI technologies for spatial and contextual understanding, focusing on areas like vision-language models and 3D reconstruction. Responsibilities include designing novel algorithms, benchmarking new capabilities, and leading multidisciplinary teams to advance AI for immersive experiences such as VR and AR.Key Responsibilities
- Design and development of novel machine learning algorithms for vision-language models, agentic AI, 3D reconstruction, depth estimation, and semantic segmentation
- Define, build, and benchmark new capabilities for next-generation AI
- Communicate cross-functionally and drive team goals and technical direction
- Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from exploration to production
Required Skills & Qualifications
Must Have:
- PhD in 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, including managing research scientists and communicating to leadership
- Proven track record with grants, fellowships, patents, or first-authored publications at conferences like CVPR, ICCV, or NeurIPS
Nice to Have:
- Experience with distributed systems or on-device algorithm development
- Experience communicating research for public audiences of peers
- Significant industry experience in robotics-related research areas, such as large multimodal models or agentic AI