Research/Applied Scientist - Foundation Models

Our Mission

Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

About the Role

Foundation Model Research Scientists will have proven hands-on research or industry experience focusing on one or more of these key areas: Vision-Language-Action models, reinforcement learning, behavior cloning, foundation models, simulation and sim to real transfer.

If you are passionate about developing technology for robots and using it to advance their capabilities and usefulness, this team will be a great fit for you!

Do you have a passion for advancing foundation models for robotics? Are you ready to bring groundbreaking research into real-world robotics applications? We’re looking for a highly skilled and innovative Foundation Model Research Scientist to join our team!

In this role you will:

• Develop deep learning methods to improve foundation models, taking them to the next level of real-world applications like robotic manipulation
• Design machine learning techniques to adapt these models to key domains and downstream tasks
• Curate and construct datasets for large-scale learning
• Collaborate closely with our research team to build robotics demonstrations that showcase the power of your work.

Who we're looking for:

We are open to candidates with a variety of educational and professional backgrounds. Successful candidates typically meet one of the following profiles:

• PhD in a foundation-model-relevant field (e.g., ML, robotics, computer vision), with strong research experience
• Master’s degree with several years of industry or applied research experience
• Bachelor’s degree with significant and relevant hands-on industry experience
• 7 Years in Research and Development

Additional qualifications:

• Proficiency with vision-language-action models, foundation models, reinforcement learning, and robotic simulation
• Technical fluency with deep learning frameworks such as PyTorch and programming expertise in Python
• Strong publication record in leading ML, robotics, or AI venues (e.g., CoRL, CVPR, ICLR, NeurIPS, RSS)

Bonus points if you bring experience in:

• Sim-to-real transfer experience
• Experience with model parallelism and distributed training techniques
• Real robot policy deployment
• Experience with CUDA programming
• Understanding of 3D representations

This is a unique opportunity to work on cutting-edge foundation model research and bring meaningful advancements to robotics and AI. Let’s shape the future of intelligent systems together!