Member of Technical Staff - Science, Frontier AI & Robotics (FAR)
Tasks
- Design and implement deep learning architectures
- Drive independent research in robotics perception and manipulation
- Integrate models across robotics stack with platform and hardware teams
- Lead full stack robotics projects from concept to deployment
- Prototype and evaluate foundation model systems at scale
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Computer Vision | Deep learning | Foundation Models | Java | Language Models | Large Language Models | Machine Learning | Model Inference | Multi-Modal | Multi-Modal Learning | Prompt engineering | Python | Real2Sim | Robotics | Sim2real | Video tokenization | Vision-language | Vision-language-action
Education
Regions
Countries
States
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