Responsibilities

• Conduct daring research, primarily in the area of generative AI models, that solves open problems of high practical and/or ethical value and validate it in real-world benchmarks and systems
• Push the boundaries of knowledge and the state of the art in Human-Centered AI, including: NLP, multi-modal models, and time-varying language models
• Stay up to date on the state-of-the-art in Machine Learning theories, practice, and software
• Conduct exploratory analyses with large datasets to identify areas of opportunity and address strategic questions
• Collaborate with scientists in the Carbon Neutrality Department to craft and shape our research program and to communicate research to Toyota partners
• Publish findings in academic journals and/or conferences
• Contribute to technology transfer of research throughout Toyota

Qualifications

• PhD in natural language processing, computer vision, machine learning, or related field
• 3+ years of experience in machine learning research or related projects
• Experience with generative AI models
• Broad knowledge of machine learning approaches and theory
• Capable of working collaboratively across subject areas and functions
• Desire to work on challenging open-ended research projects
• Demonstrated ability to work autonomously while soliciting feedback
• Strong interpersonal skills and an excellent teammate
• Strong data science skills. Proficiency in R and/or Python
• Proficiency in other big data languages and tools for cloud environments (e.g., Databricks, SQL, PySpark)
• Ability to communicate sophisticated concepts clearly across different audiences
• Please include a link to your Google Scholar page

Bonus Qualifications

• Experience with language transformers, vision transformers, diffusion models, or multi-modal models
• Ability to balance multiple projects, including short-term, targeted analyses and novel, innovative projects that may span years