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Toyota Research Institute (TRI) is looking to develop the next generation of AI-powered robots through high-fidelity simulation and Large Behavior Models to improve the quality of human life and amplify the human experience.

Requirements

• Strong proficiency in Python and experience with simulation frameworks such as Isaac Sim, PyBullet, MuJoCo, or similar.
• Hands-on experience with robotics simulation, reinforcement learning, or large-scale machine learning.
• Familiarity with state-of-the-art methods in behavior learning and/or computer vision.
• Experience integrating ML models into simulated or real-world environments.
• Extensive practical experience with PyTorch.
• Ability to alternate between rapid prototyping and production-quality implementation.
• Solid understanding of software engineering best practices, including testing, CI/CD, and documentation.

Responsibilities

• Build, improve, and robustify end-to-end integrated ML pipelines for training multimodal (language, images, 3D, video, actions) models at scale.
• Develop and manage physics-based robot simulation environments enabling scalable training and evaluation of learning-based behavior models in realistic, physically grounded scenarios.
• Integrate and validate learned policies in simulation, assessing real-world applicability, generalization, and performance across diverse environments, tasks, geometries, and sensor viewpoints.
• Train, finetune, and serve robot foundation models with a strong MLOps mindset.
• Build processes for integrating collaboration-produced and open-source advancements and code into our internal stack.
• Collaborate with internal research scientists and our partner labs at top academic institutions and Toyota research labs to drive pioneering research at scale.

Other

• 2+ years of professional engineering experience at an AI/ML-focused organization.
• Experience deploying models on embodied systems/robots.
• Experience working in mixed teams of research scientists and engineers.
• Exposure to MLOps tools and infrastructure (e.g., Docker, EC2, S3, Sagemaker).
• Please submit a brief cover letter and add a link to Google Scholar to include a full list of publications when submitting your CV for this position.