Toyota Research Institute (TRI) is looking to improve the quality of human life and amplify the human experience through new tools and capabilities in mobility. Specifically, the Carbon Neutrality Department within the Human-Centered AI (HCAI) Division aims to understand, predict, and enable carbon-neutral behavior by blending behavioral science, human-computer interaction research, and machine learning.
Requirements
- Experience with LLM/MLLM, large scale fine-tuning (e.g., SFT, RLHF), RAG and agentic systems.
- Experience in human-centered research (e.g. behavioral data science, computational social science, human-computer interaction), including qualitative and/or quantitative methods such as experiments and user studies.
- Experience with Python, C++, C, Java or other related language deep learning frameworks such as Pytorch or Tensorflow.
- Strong data science skills.
- Proficiency in other big data languages and tools for cloud environments (e.g. Databricks, SQL, PySpark).
- Broad knowledge of machine learning approaches and theory.
- Experience with time series modeling and data analysis.
Responsibilities
- Conduct research that integrates behavioral and social science concepts with machine learning methods to push the boundaries of knowledge and the state of the art in Human-Centered AI.
- Stay up to date on the state-of-the-art in Machine Learning theories, practice, and software.
- Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that employs and leverage generative AI to understand human behavior and preferences.
- Collaborate with scientists in the Carbon Neutrality Department to shape 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.
Other
- PhD or equivalent experience in computer science, machine learning, social science computation, or related field.
- 3+ years of experience engaged in research pertaining to machine learning or related projects in an industry setting.
- Ability to work collaboratively across subject areas and functions.
- Strong project management skills and desire to work on challenging open-ended research projects.
- Evidenced skill in operating autonomously while seeking feedback.
