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 IntelligenceIndustries

Requirements

PhD in computer science, machine learning, computational social science, or related field
3+ years of experience and shown ability in ML research or related projects
Experience with transformer models (e.g., language, vision), diffusion models, or multimodal models
Skilled with fine-tuning approaches (e.g., LoRA)
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
Broad knowledge of machine learning approaches and theory
Work collaboratively across subject areas and functions
Top-tier project management skills and desire to work on challenging open-ended research projects
Proven track record of working autonomously while soliciting feedback
Strong interpersonal skills and great teammate
Strong data science skills with proficiency in Python
Proficiency in other big data languages and tools for cloud environments (e.g. Databricks, SQL, PySpark)
Heavy interest in research to facilitate carbon neutrality
Bonus Qualification: Experience with time series modeling and data analysis
Bonus Qualification: Ability to balance multiple projects, including short-term targeted analyses and long-term innovative projects

Responsibilities

Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that uses generative AI to understand human behavior and preferences
Conduct daring research that integrates behavioral science concepts with machine learning methods to push the boundaries of knowledge and the state of the art in Human-Centered AI, including multi-modal models and time-varying language models
Stay current on the state-of-the-art in Machine Learning theories, practice, and software
Collaborate with scientists in the Carbon Neutrality Department to shape and craft 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

Key technologies and capabilities for this role

Machine LearningFoundation ModelsGenerative AIFine-tuningMulti-modal ModelsLanguage ModelsBehavioral ScienceHuman-Computer Interaction

Questions & Answers

Common questions about this position

What is the salary for this AI Research Scientist position?

This information is not specified in the job description.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills and qualifications are required for this role?

Candidates need a PhD in computer science, machine learning, computational social science, or related field, 3+ years of ML research experience, expertise with transformer models, diffusion models, or multimodal models, fine-tuning approaches like LoRA, proficiency in Python, and experience in human-centered research.

What is the company culture like at Toyota Research Institute?

TRI emphasizes collaboration across fields and with university partners, daring research to push boundaries in Human-Centered AI, and working on challenging open-ended projects in a world-class team focused on improving human life.

What makes a strong candidate for this AI Research Scientist role?

A strong candidate has a PhD in a relevant field, proven ML research experience including transformers and fine-tuning, human-centered research background, strong collaboration and project management skills, and proficiency in Python and big data tools.

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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