Research Scientist

What you'll do

• Design data strategies and training and evaluation approaches using real-world deployment data.
• Build evaluations for socially intelligent behavior, using simulation benchmarks and real-world measurements.
• Publish research and collaborate with platform and deployment teams to deploy it on robots.

What they ask for

• MS or PhD in machine learning, robotics, or a related field, or equivalent research experience with a strong publication record.
• Deep expertise in at least one of: world models, VLA models, imitation or reinforcement learning, or multimodal foundation models.
• Strong engineering fundamentals in languages such as Python, Go, and/or C++; ability to train models and write production-quality research code.
• Bias toward research that can work in real-world settings.

Nice to have

• First-author publications at CoRL, RSS, ICRA, ICML, NeurIPS, or ICLR.
• Experience deploying learned policies on physical hardware; prior work at a frontier AI lab or leading robotics research group.

Tools

Python, Go, C++

AI focus

Research and deploy social world models, vision-language-action systems, and embodied reasoning for robotics; develop data strategies and evaluations for socially intelligent behavior.