- Company Name
- Toyota Research Institute
- Job Title
- Robotics Intern - Large Behavior Models, Trustworthy Learning under Uncertainty (TLU)
- Job Description
-
**Job Title:**
Robotics Intern – Large Behavior Models, Trustworthy Learning under Uncertainty (TLU)
**Role Summary:**
12‑week paid research internship (summer 2026, hybrid) focused on advancing machine‑learning‑driven robotics. Interns will design, implement, and evaluate novel algorithms for large behavior models (LBMs) applied to robotic manipulation, with an emphasis on safety, uncertainty, and real‑world deployment.
**Expectations:**
- Conduct original research addressing high‑impact or ethical challenges in robotics and LBMs.
- Produce results suitable for submission to top ML/robotics conferences or journals.
- Collaborate closely with multidisciplinary researchers, engineers, and university partners.
- Maintain up‑to‑date knowledge of state‑of‑the‑art ML methods and tooling.
- Communicate findings through presentations, written reports, and open‑source contributions.
**Key Responsibilities:**
- Develop and test algorithms in areas such as policy evaluation, failure detection, active/continual learning, imitation learning, RL, planning & control, uncertainty estimation, OOD detection, and safety‑aware ML.
- Run experiments on large sensor datasets, simulators, and physical robot platforms.
- Analyze results, benchmark against existing methods, and iterate on designs.
- Document research progress and prepare manuscripts, posters, or talks for internal and external audiences.
- Contribute code (Python, PyTorch, Unix) to shared repositories and ensure reproducibility.
**Required Skills:**
- Strong programming proficiency (Python; comfortable with Unix/Linux environment).
- Experience with deep‑learning frameworks, preferably PyTorch.
- Solid foundation in machine learning concepts (RL, generative models, uncertainty, etc.) and robotics fundamentals.
- Ability to work independently and within a collaborative, interdisciplinary team.
- Excellent written and verbal communication skills for scientific dissemination.
**Required Education & Certifications:**
- Currently enrolled in a Ph.D. program in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a closely related field.
- Demonstrated research output (publications or strong intent to publish) in venues such as CoRL, ICLR, NeurIPS, ICML, ICRA, IROS, RSS, etc.
- No additional certifications required; a Google Scholar profile and full publication list must be provided with the CV.