Robotics Intern - Large Behavior Models, Policy Training
Toyota Research InstituteLos Altos, California
Internship
Posted October 13, 2025
$45 - $65/hr
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Application opens on company website
Job Description
A research internship focused on developing and prototyping machine learning models for general-purpose robots capable of dexterous manipulation, utilizing multimodal data, simulation, and reinforcement learning techniques, with opportunities to experiment on both simulated and real robots.
Key Responsibilities
- Develop and implement code prototypes for robotics and machine learning models
- Conduct experiments with simulated and real robots to test policies and models
- Analyze large datasets, including static and dynamic robot data, to improve policies
- Collaborate with team members to refine algorithms and models for robot manipulation
- Participate in research activities and contribute to publishing findings in peer-reviewed venues
Requirements
- A research intern who is comfortable working with both existing large static datasets as well as a growing dynamic corpus of robot data.
- Ability to create working code prototypes and run experiments with both simulated and real physical robots.
- Strong understanding of data-efficient and general algorithms for learning robust policies leveraging multiple sensing modalities such as proprioception, images, and 3D representations.
- Experience with data annotation and filtering, and improving policies without collecting more data by using non-robotics data at scale, new training objectives, new data annotations, or filtered datasets.
- Experience scaling learning approaches to large-scale models trained on diverse sources of data, including web-scale text, images, and video.
- Knowledge of structured hierarchical reasoning using learned models.
- Familiarity with leveraging test time compute for embodied applications.
- Experience developing multimodal reasoning models.
- Experience applying reinforcement learning techniques for multimodal models.
- Ability to leverage history and memory for learning policies for long context tasks.
- Experience improving robustness and few-shot generalization by leveraging sub-optimal and self-play data.
- Ability to develop interactive agents that can reduce embodied and instructional ambiguity and seek help and clarification.
- Participation in publishing work to peer-reviewed venues is expected.
- The internship is a full-time, in-office role for a duration of 12 weeks during summer 2026.
- The position is paid, with a pay range expected to be between $45 and $65 per hour, depending on factors such as knowledge, skills, experience, and location.
- A background in robotics, machine learning, or related fields is implied as necessary for the role.
Benefits & Perks
Paid 12-week summer internship
In-office role
Pay range between $45 and $65 per hour (California-based roles)
Medical insurance
Dental insurance
Vision insurance
Paid time off including holiday pay and sick time
Ready to Apply?
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