Machine Learning Intern

What You'll Do

• Contribute to training runs: Work alongside founding engineers on world model or eval model experiments end-to-end
• Run real-robot evaluations: Collect demonstration data, run policies on physical hardware, and document failure modes
• Build tooling: Write Python and PyTorch code that improves our data engine, training pipelines, or eval infrastructure
• Close the sim-to-real gap: Run experiments that test how well simulation predicts real-robot behavior

Requirements

• Strong coding in Python and PyTorch
• Currently enrolled in a BS, MS, or PhD program in ML, robotics, computer vision, or a related field
• Hands-on experience training or fine-tuning a generative model, VLM, or policy (coursework or research counts)
• Ability to work in-person in San Francisco

Nice to Have

• Experience with real robot hardware or simulation environments (Isaac, MuJoCo, etc.)
• Prior research in manipulation, 3D vision, or model evaluation