Research Scientist Intern, Robotics Foundation Models Mid-Training (PhD)

What you'll do

• Develop methods, training pipelines, and experiments for mid-training WAMs and assess downstream performance and generalization.
• Evaluate models in simulation and on real robots, and collaborate with research scientists and engineers.
• Communicate findings and publish research at leading machine learning, computer vision, and robotics venues.

What they ask for

• Currently has or is pursuing a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Robotics, or a related STEM field.
• Research experience training video models or robotics foundation models.
• Experience implementing and training deep learning models using Python and PyTorch or a comparable framework.
• Experience designing controlled experiments, analyzing results, and debugging machine learning algorithms.

Nice to have

• Experience training VLAs, WAMs, or other foundation models for embodied decision-making; diffusion or flow-based policies; action-sequence prediction; or action-conditioned world models.
• Experience with distributed multi-GPU or multi-node training, evaluating policies on physical robots or simulation benchmarks, or a strong publication, grant, fellowship, or patent record.

Pay

$7,650/month to $12,667/month (base salary)

Tools

Python, PyTorch

AI focus

Robotics foundation models, including mid-training world action models (WAMs) and vision-language-action models (VLAs) for robotic manipulation and embodied AI.