Large Behavior Models (LBM) Research Scientist Intern, Policy Learning

$93,600 - $135,200/Yr

Toyota Motors - Los Altos, CA

Full-time - Intern

Los Altos, CA

Transportation Equipment Manufacturing

About the position

The Research Scientist Intern at Toyota Research Institute (TRI) will engage in cutting-edge research focused on developing general-purpose robots capable of performing a variety of tasks in unstructured environments. This 12-week paid internship will involve working with a dynamic team to advance the state of the art in robot foundation models, bridging visual, language, and robotic domains, and validating these models on both simulated and physical robots.

Responsibilities

• Advance the state of the art in training large-scale robot foundation models and validate the impact of that research on real-world benchmarks and robots.
• Work as part of a dynamic, closely-knit research team.
• Implement high-performance machine-learning pipelines and optimize data and learning stacks for scalability, efficiency, and performance.
• Present results in verbal and written communications at international conferences, internally, and via open-source contributions to the community.
• Collaborate with internal research scientists, engineering teams, and partner labs at top academic research universities to drive pioneering research at scale.

Requirements

• Currently pursuing a Ph.D. in Machine Learning, Robotics, or related fields.
• Publications at high-impact conferences/journals on relevant topics.
• Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch).
• Ability to work collaboratively with other researchers and engineers.
• Experience training large-scale foundation models is desirable.
• Familiarity with robots and the challenges of conducting research on physical hardware platforms is desirable.

Nice-to-haves

• Experience training large-scale foundation models (VLMs, text-to-video models, etc).
• Familiarity with robots and the challenges inherent in conducting research on physical hardware platforms.

Benefits

• Generous benefits package including vacation and sick time.