Research Scientist, Robotics Pre-Training and Data Quality

Highlights

• Oversee data acquisition and labeling strategies for robotics foundation models.
• Hill-climb model performance against benchmarks via improved training recipes.
• Help bring lab research to robust, real-world robotic systems.

Ideal candidate

A research-driven roboticist passionate about solving real-world robotics problems and turning lab ideas into robust systems. You love hands-on pre-training, data quality, and iterative performance improvements in fast-paced collaborative teams.

Requirements

• PhD in a technical field or equivalent practical experience.
• Experience with algorithmic architectures, data sources, and training and inference techniques for generative multimodal models, especially for robotics applications (e.g., VLAs, WAMs).
• Experience optimizing models and systems (e.g., performance tuning, experimentation, and debugging).