Senior AI Research Scientist – Human Behavior and Carbon Neutrality at Toyota Research Institute

Los Altos, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Artificial Intelligence, ResearchIndustries

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
Bonus Qualifications
Experience with time series modeling and data analysis
Ability to balance multiple projects, including short-term, targeted analyses and novel, innovative projects that may span several years
Experience with one or more of the following areas: diffusion models, uncertainty modeling, reinforcement learning, physiological signal processing
Previous experience in human modeling (both cognitive and behavioral) with generative AI

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

Skills

Machine Learning

Foundation Models

Generative AI

Large-Scale Datasets

Model Training

Model Fine-Tuning

Behavioral Science

Social Science

Human-Computer Interaction

Human-Centered AI

Toyota Research Institute

Research in mobility, safety, and automation

About Toyota Research Institute

Toyota Research Institute focuses on improving mobility through research and development in the automotive and technology sectors. The company works on enhancing safety, automated driving, robotics, materials science, and machine learning. Their products include advanced safety features and automated driving systems that aim to make driving safer and more efficient. Unlike many competitors, TRI emphasizes a research-driven approach, collaborating with various partners and licensing their innovations to enhance Toyota's offerings and maintain a competitive edge. The goal of TRI is to advance mobility solutions that improve quality of life and support the transition to zero-emissions transportation.

Los Altos, CaliforniaHeadquarters

2016Year Founded

$100MTotal Funding

SEEDCompany Stage

Robotics & Automation, Automotive & Transportation, AI & Machine LearningIndustries

201-500Employees

Benefits

Highly competitive benefits package

Robust programs to support the wellbeing, happiness, and health of our people and their families.

401(k) plan including matching and annual profit sharing along with total vacation and holidays totaling 38 days per year.

Subsidized commuter benefits and generous employee and vehicle allowances

2 paid days per year to participate in volunteer activities.

Maternity Leave program with 10 paid weeks plus baby bonding leave and Milk Stork for traveling moms

Baby Bonding Leave–an additional 16 paid weeks–to all new parents, including those who choose to adopt.

Back-up child and adult / elder care programs to help everyone thrive

WellBeats Virtual Fitness Trainer.

Risks

Public skepticism may undermine AI-assisted driving safety initiatives.

Boston Dynamics' high costs could impact TRI's humanoid robot project returns.

Complexity of real-world environments may delay TRI's robot skill deployment.

Differentiation

TRI focuses on AI to enhance human life and mobility.

Partnerships with Boston Dynamics and Stanford showcase TRI's collaborative innovation.

TRI's Driving Sensei concept integrates AI to improve driver skills and engagement.

Upsides

Generative AI allows TRI's robots to learn complex tasks without new coding.

TRI's AI-driven material synthesis could revolutionize EV battery development.

Autonomous tandem drifting collaboration with Stanford pushes vehicle dynamics boundaries.

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