Machine Learning Research Scientist, Adaptive Behavioral Systems

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

The Team

TRI’s Adaptive Behavioral Systems Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions. To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning.

The Opportunity

We are looking for an AI Research Scientist, or Senior Machine Learning Research Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation and benchmarking. This role operates at the forefront of generative machine learning and human behavior modeling. Ideal candidates will bring a strong research track record, hands-on experimentation skills, and experience developing and deploying foundational models. This role sits at the intersection of social science and generative AI, building models that represent human beliefs, preferences, and cognition as they change over time. For an example of our early research in this vein, please see https://arxiv.org/abs/2403.20252.

Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.

The pay range for this position at commencement of employment is expected to be between $176,000 and $253,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

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