onsite
Machine Learning Research Scientist - Adaptive Behavioral Systems - Toyota Research Institute
ML Engineer
Lead cutting‑edge research on adaptive AI systems that learn from human behavior, leveraging Python, deep learning, and reinforcement learning to advance autonomous mobility and human‑centered robotics.
About the role
Key Responsibilities
- Design, implement, and evaluate novel machine learning algorithms for adaptive behavioral modeling in autonomous systems.
- Collaborate with robotics, perception, and control teams to integrate learning components into end‑to‑end pipelines.
- Conduct rigorous experimentation, benchmark results, and publish findings in top conferences.
- Mentor junior researchers and contribute to open‑source projects.
- Translate research insights into scalable production‑ready solutions.
Requirements
- Ph.D. or equivalent experience in Machine Learning, Robotics, or related field.
- Proficiency in Python and deep learning frameworks (PyTorch/TensorFlow).
- Strong background in reinforcement learning, probabilistic modeling, or related areas.
- Experience with large‑scale data pipelines and cloud platforms (AWS/GCP).
- Excellent communication skills and a track record of high‑impact publications.
Skills
pythonmachine learningdeep learningreinforcement learning