Member of Technical Staff - Science, Frontier AI & Robotics (FAR)
Core
Drive foundational research and build intelligent robotic systems from the ground up, operating at the intersection of cutting-edge AI research and real-world robotics.
Role type
Senior IC machine-learning engineer (robotics)
Builds
Full-stack robotics systems, foundation models, and novel frameworks for perception, manipulation, and locomotion.
Domain
Robotics, AI, Deep Learning, Computer Vision
Deliverable
production ML models
Required skills
Deep learning, robotics system development, sim-to-real transfer, reinforcement learning, foundation models, multi-modal learning, system identification, low-level control, patent/publication experience
Preferred skills
Large-scale foundation model training, LLM/VLM/VLA development, sim2real/real2sim techniques, multi-task robot learning, first-author publications at top-tier conferences
Technologies
Python, PyTorch, JAX, C++, Java
Responsibilities
Design and implement novel deep learning architectures for robotics; guide technical direction for full-stack robotics projects from conception to deployment; collaborate with platform and hardware teams for seamless integration; conduct experiments and prototype new ideas using massive compute clusters; mentor fellow researchers while maintaining individual technical contributions
Seniority
Senior, hands-on IC
