Member of Technical Staff, FAR (Frontier AI & Robotics)
Core
Lead technical initiatives in robotic foundation models, designing novel algorithms to enable robots to perceive, understand, and interact with the world at Amazon scale.
Role type
Senior IC machine-learning engineer (robotics foundation models)
Builds
Robust robotic foundation models and end-to-end learned systems for dynamic real-world environments
Domain
Robotics + Deep Learning
Deliverable
production ML models
Required skills
Deep learning, multi-modal foundation models, sim2real transfer, multi-task learning, open-vocabulary scene understanding, video tokenization, efficient model inference, Java, C++, Python, patent/publication experience, technical leadership
Preferred skills
First-author publications at major conferences, leading research initiatives in robotics, successful production ML deployments, large-scale distributed systems, bridging research with engineering
Technologies
Python, C++, Java, massive compute clusters
Responsibilities
Design and implement novel deep learning architectures, guide technical direction for research initiatives, mentor fellow scientists, collaborate with engineering teams to scale models, conduct experiments and prototype new ideas, lead focused technical initiatives from conception through deployment
Seniority
Senior, hands-on IC with scientific leadership
