Join our cutting-edge research team to help advance the next generation of Embodied AI and Humanoid Robotics. As a research intern, you will develop AI technologies that enable humanoid robots to understand, reason, and interact with the physical world through complex manipulation, assembly, and tool-use tasks.
What You'll Work On
- Embodied AI for dexterous manipulation, assembly, and tool use
- Vision-Language-Action (VLA) models and Foundation Models for robotic control
- World-Action Models (WAM) for long-horizon planning and decision making
- Learning from human demonstrations, teleoperation, and autonomous data collection
- Sim-to-real transfer, reinforcement learning, and real-world robot deployment
What We're Looking For
- Strong research experience in robotics, embodied AI, machine learning, computer vision, or related fields
- Experience with deep learning frameworks such as PyTorch or JAX, and strong Python programming skills
- Familiarity with VLA models, Foundation Models, reinforcement learning, imitation learning, robot manipulation, motion planning, or control
Preferred Qualifications
- Hands-on experience with humanoid or loco manipulators (e.g., Unitree G1)
- Experience with teleoperation systems, robotics simulators (Isaac Sim, MuJoCo, Genesis)
- Familiarity with ROS/ROS 2 and real-world robot experimentation
Internship Details
- Duration: Approximately 4 months
- Start Date: Flexible
- Location: Cambridge, MA
- Objective: Publish at CoRL, RSS, ICRA, IROS, NeurIPS, ICML
Compensation: $6-8K/month plus relocation stipend, covered travel, Charlie Card, and health insurance.
