Nimble is looking to advance their robotics moonshot by designing, developing, training, and implementing robotic foundation models, Vision-Language-Action Models, general-purpose robotic AI models, and reinforcement learning algorithms controlling multi-agent robot fleets.
Requirements
- Experience training deep learning models for robotic manipulation or mobility
- Experience working with real robotic hardware
- Experience training models in simulation and developing simulation environments
- Experience collecting custom datasets
- Experience training on open-source datasets
- Strong track record of publishing papers and/or deploying real-world applications
- Experience with system architecture, design and development
Responsibilities
- Develop and train diffusion policies, VLMs, multi-agent deep RL policies and more
- Develop data collection pipelines
- Design data annotation and labeling
- Support implementation of models into production systems
Other
- P.h.D in Robotics or Computer Science
- Must be able to work extended hours and weekends as needed
- Must be able to work in San Francisco
