AI Research Scientist, Adaptive Behavior Systems

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.

Qualifications

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.

Bonus Qualifications

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).