Machine Learning Researcher working with a diverse team to integrate ML techniques into fusion technology. Collaborating with scientists and engineers to drive innovative energy solutions.
TI
Hybrid Senior AI Research Scientist – Human Behavior, Carbon Neutrality
Posted 3 months ago
About the role
- AI Research Scientist at Toyota Research Institute developing generative AI models for understanding human behavior. Focused on machine learning and behavioral science for carbon neutrality research.
Responsibilities
- 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.
- 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 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.
Requirements
- 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.
- 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.
- 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.
- Strong interpersonal skills and great teammate.
- Ability to communicate complex concepts clearly across different audiences.
Benefits
- medical, dental, and vision insurance
- 401(k) eligibility
- paid time off benefits (including vacation, sick time, and parental leave)
- annual cash bonus structure
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