Machine Learning Scientist
Ultra, New York, New York
What you will do
- Improve our robots’ ability to quickly learn new tasks and to execute those tasks quickly and reliably
- Train VLA (vision-language-action) models for grasping and manipulation tasks on our robots using simulation and real-robot datasets
- Keep up with cutting edge research on robot learning (RL, imitation learning, etc.) and evaluate them to improve our stack
- Build pipelines to collect and curate data coming off our production robots
- Optimize our models for large scale training and low-latency edge inference
- Integrate trained models with our production robotics stack and work with deployment teams to scale models across varying warehouse configurations