What are the responsibilities and job description for the AI Research Scientist, Human Behavior and Carbon Neutrality position at Toyota Research Institute?
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 in Energy & Materials, Human-Centered AI, Human Interactive Driving, and Robotics.
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TRI’s Carbon Neutrality Department within our Human-Centered AI (HCAI) Division blends behavioral science, human-computer interaction research, and machine learning to understand, predict, and enable carbon neutral behavior.
We are looking for an AI research scientist with expertise in and enthusiasm for machine learning research (e.g., foundation models, including training and fine-tuning on large, industrial-scale datasets). This researcher would work at the intersection of social science and generative AI, training and fine-tuning models representing human behaviors and cognitive processes, such as changes in beliefs and preferences over time. For an example of our research in this vein, please see here.
Responsibilities
- Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that uses generative AI to understand human behavior and preferences
- Conduct daring research that integrates behavioral science concepts with machine learning methods to push the boundaries of knowledge and the state of the art in Human-Centered AI, including multi-modal models and time-varying language models
- Stay current on the state-of-the-art in Machine Learning theories, practice, and software
- Collaborate with scientists in the Carbon Neutrality Department to shape and craft our research program and to communicate research to Toyota collaborators
- Publish findings in academic journals and / or conferences
- Contribute to technology transfer of research throughout Toyota
Qualifications
Bonus Qualifications
The pay range for this position at commencement of employment is expected to be between$165,760and$248,640 / year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
Please reference thisCandidate Privacy Noticeto inform you of the categories of personal information that we collect from individuals who inquire about and / or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
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Salary : $165,760 - $248,640
