Research Engineer, Simulation for Robot Learning

Toyota Research Institute (TRI) is looking for a motivated Research Engineer to help develop the next generation of AI-powered robots through high-fidelity simulation and Large Behavior Models. The role involves building, improving, and robustifying end-to-end integrated ML pipelines for training multimodal models at scale, developing and managing physics-based robot simulation environments, and integrating and validating learned policies in simulation.

Requirements

• Bachelor's or master's degree in Computer Science, Robotics, Physics, or a related field
• 2+ years of professional engineering experience at an AI/ML-focused organization
• 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

Benefits

• Medical, dental, and vision insurance
• 401(k) eligibility
• Paid time off benefits (including vacation, sick time, and parental leave)
• Annual cash bonus structure