Machine Learning Research Engineer/Scientist
Core
Design and develop state-of-the-art robot learning algorithms for dexterous manipulation and controls in unstructured home environments.
Role type
Machine Learning Research Engineer (Robotics)
Builds
Consumer personal robots with embodied AI capabilities
Domain
Robotics, Embodied AI, Home Automation
Deliverable
production ML models
Required skills
Python, Deep Learning frameworks (PyTorch), Robot learning algorithms, Data curation, Model training and evaluation, On-robot deployment, Tooling for visualization and debugging
Preferred skills
Classical robotics fundamentals (controls, planning, state estimation), Edge device optimization, Large-scale model training pipelines (LLM/VLM/VLA)
Technologies
PyTorch, Python
Responsibilities
Design and develop robot learning algorithms for manipulation and controls; Leverage large-scale in-the-wild data to develop generalizable behaviors; Own the end-to-end loop from task definition to on-robot deployment; Collaborate with full-stack robotics teams; Write production-quality code for research and deployment
Seniority
Mid-level, hands-on IC