Robot Learning Intern — Manipulation Policy Learning (2026 Fall)

Anyware Robotics builds general-purpose mobile manipulator robots for industrial applications. They are seeking a Robot Learning Intern to work on applied manipulation learning using real robot data, focusing on model training, evaluation, and technical recommendations.

Responsibilities:

• Work with real robot datasets, including various sensory inputs and system information related to robot behavior and outcomes
• Develop and evaluate robot learning models for a range of manipulation-related tasks
• Design, implement, and deliver approaches that bridge exploration and production readiness with imitation learning, diffusion policy, VLA models, or representation learning
• Build data pipelines, training scripts, evaluation metrics, and experiment reports
• Analyze successful and failed robot trials to identify learnable patterns and production-relevant failure modes
• Collaborate with planning, perception, and controls engineers to understand how learned models could augment the production system
• Present clear technical findings, including what worked, what failed, and what should be tested next