Research Intern

What You'll Work on

Your work will be project-specific, scoped to the needs of the major project you're embedded in at the time. Across the team, that spans large-scale video-based robot policy learning, multimodal/VLM architectures, simulation, and robotics-adjacent systems like SLAM and navigation - but your exact focus will be defined by your mentor based on what the project needs.

You'll be contributing directly to a major, ongoing research project rather than working in isolation, and will partner closely with your mentor and the broader research team throughout.

What We're Looking for

• Currently pursuing (or recently completed) a PhD in Computer Science, Robotics, Machine Learning, or a related field - close to graduation preferred; strong Masters/BS candidates with equivalent research experience will also be considered
• Strong foundation in deep learning, with hands-on experience training and debugging large models
• Solid software engineering skills - comfortable writing production-quality research code, not just notebooks
• Experience with one or more of: video/generative models, VLMs or multimodal architectures, robot learning, simulation environments (e.g., MuJoCo, Isaac Sim, Habitat), or SLAM/navigation
• Track record of independent research - publications are a plus but not required, especially for candidates focused on applied/major-project work
• Comfortable working in a fast-moving, resource-constrained startup research environment

The Internship Experience

• Direct collaboration with an assigned mentor from day one, with regular guidance and feedback
• Access to compute resources scoped to your project
• A structured interview process (domain knowledge + coding), a mid-internship check-in, and an end-of-internship evaluation that can lead to a full-time offer
• The opportunity to work on problems that matter to a real generalist-robotics product, not just a standalone research exercise