Human Aware Interactions and Learning Intern

What you'll do

• Build working code prototypes, run experiments with simulated and physical robots, and contribute to peer-reviewed publications.
• Develop methods for learning robust robot policies that account for human context, intent, roles, and uncertainty.
• Work with large robot datasets and help build and maintain a corpus of robot data.

What they ask for

• Currently pursuing a Ph.D. or M.S. in Robotics, Computer Science, Mechanical Engineering, or a related field.
• Publication record at top-tier robotics or machine-learning conferences.
• Experience with machine learning and familiarity with large datasets, models, and benchmarks.
• Strong Python software development skills; experience conducting user studies involving real robot hardware.

Nice to have

• Hardware experience, especially deploying learned policies on real robotic systems.
• Experience with C++, learned control for manipulation, interactive machine learning, or qualitative and quantitative user research.

Pay

$40 and $58/hour USD, base pay (Massachusetts-based roles)

Tools

Python, C++, Large Behavior Models, vision-language-action (VLA) models

AI focus

Research generative AI and machine-learning methods for general-purpose robot behaviors, including human-aware policies, collaboration, shared autonomy, and adaptation using human-interactive data.