- Boston, Massachusetts, United States
Build the base intelligence layer for robotics by designing and running large-scale pretraining runs for robot foundation models.
Responsibilities
- Designing and executing large-scale pretraining runs for robot foundation models
- Defining model architectures, objectives, and training curricula across multimodal robotic data
- Developing scalable data mixtures and sampling strategies across petabyte-scale datasets
- Guiding data collection operations towards new directions, as well as sourcing new datasets
- Running ablations to understand scaling laws, data quality effects, and architecture tradeoffs