AI Research Scientist, Adaptive Behavior Systems
Toyota Research InstituteLos Altos, Canada
Full Time
Posted November 6, 2025
$176k - $176k
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Job Description
At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life.
Key Responsibilities
- Conduct machine learning research that integrates behavioral science concepts to push the boundaries of knowledge and the state of the art in Human-Centered AI.
- Develop and evaluate generative AI and machine learning methods for modeling and understanding human behavior.
- Collaborate cross-functionally with researchers in multiple fields, as well as university partners.
- Stay up to date on the state-of-the-art in machine learning theories, methods and tooling.
- Collaborate with scientists in the Adaptive Behavioral Systems Department to shape our research program and to communicate research to Toyota stakeholders.
- Publish research findings in academic journals and/or conferences.
- Contribute to technology transfer of research insights and prototypes throughout Toyota.
Requirements
- PhD in computer science, machine learning, or a closely related field with 1-7 years of experience in machine learning research or related projects in an industry setting, particularly in areas related to LLM training or large-scale ML. Industry experience is a plus.
- A strong publication record in ML, NLP, deep learning, or related fields.
- Awareness of current machine learning research and the ability to critically evaluate emerging techniques and literature.
- Experience with LLM/MLLM pretraining, fine-tuning (e.g., SFT, RLHF) and agentic systems.
- Proficiency in Python and modern deep learning frameworks such as Pytorch or Tensorflow
- Ability to work collaboratively across disciplines and functions.
- Ability to balance multiple projects, including short-term and those that may span several years.
- Strong project management skills and desire to work on cutting-edge open-ended research projects.
- Demonstrated ability to independently identify research opportunities, formulate well-scoped problems, and lead research projects end-to-end.
- Demonstrated ability to work autonomously while soliciting feedback.
- Strong interpersonal skills. Great teammate.
- Experience with one or more of the following areas: diffusion models, uncertainty modeling, reinforcement learning, and physiological signal processing.
- Previous experience in human modeling (both cognitive and behavioral) with generative AI.
- Experience with human-centered research (e.g. computational behavioral and social science, human-computer interaction, neuro-science).
Ready to Apply?
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