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Research Scientist, Future Product Innovation
Company | Toyota Research Institute |
Address | Los Altos, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Research Services |
Expires | 2023-08-16 |
Posted at | 11 months ago |
The Future Product Innovation team has an immediate opening for a Research Scientist interested in the intersection of generative AI, conceptual design, and creativity. We are a coordinated team of behavioral scientists, ML researchers, and human-computer interaction authorities and therefore this position is open to all subject areas with curiosity about these problems. Work on the project involves crafting new AI algorithms, performing evaluations, interacting with team members throughout Toyota (e.g., designers, planners). Candidates should be self-starting and interested in making contributions within a multidisciplinary team project.
- Develop new methods for capturing and predicting the people’s preferences, and
- Integrate these models into decision-makers processes to increase individual and organizational creativity. We leverage advances in natural language processing, physiological sensing, causal inference and representation learning to support human decision-making. In particular, we are exploring how these models combine with generative AI models (e.g., Stable Diffusion) to facilitate creative work in conceptual design.
- Conduct groundbreaking research at the intersection of behavioral science, AI, and HCI that results in peer-reviewed publications and/or patents
- Integrate their research into software being developed by other HCAI researchers and engineers
- Collaborate cross-functionally with specialists in multiple fields, as well as university partners to research and develop ways to demonstrate AI to augment human decision making. Some research and development areas may include: AI and Conceptual Design, Computational Creativity, Preference Modeling and Prediction
- Appetite to learn across functions
- Strong prototyping skills to implement and demonstrate their research
- Strong research background, including best-in-class peer-reviewed publication with overlap of the following topics: AI and Conceptual Design, Computational Creativity, Generative AI, Preference modeling (E.g., ML, Applied Statistics, Behavioral Science)
- Ability to work independently as part of a team
- PhD in Computer Science, Psychology, Behavioral Economics, Engineering, Information Sciences, or equivalent
- Strong interpersonal skills
- Outstanding teammate
- Experience in use-inspired basic research and/or applying academic research in an industry setting
- Ability to lead cross-functional projects
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