Atlas VLA Research Intern

Job description

Job responsibilities

• Lead a high-stakes research project establishing hypotheses and experiments for VLA / WAM performance, leveraging and extending our benchmarking, training, and evaluation with various data sources (teleoperation,…
• Prototype and deploy your data collection / mixing / grading schemes, pre- / mid- / post-training recipes, and algorithms directly on Atlas, moving from simulation to hardware.
• Collaborate across teams to integrate learned policies with low-level robot control .
• Extend data pipelines that ingest alternative data sources to improve robot robustness.
• Write production-grade code (Python/C++) that integrates with our existing systems, using AI coding agents to accelerate progress and minimize entropy while avoiding AI slop.

Job requirements

• Actively pursuing a PhD (preferred) or a research-heavy Master’s in Computer Science, Robotics, Machine Learning, or a related field.
• Expertise in training and deploying imitation learning models (VLAs/WAMs) for robotics with strong experimental hygiene and clear knowledge of the state of the art and where the community can improve.