4 days ago

Applied AI Researcher - Human Behavior and Carbon Neutrality

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At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Human-Centered AI, Energy and Materials, Human Interactive Driving, and Robotics.

TRI’s Carbon Neutrality Department within our Human-Centered AI (HCAI) Division blends behavioral science, human-computer interaction research, and machine learning to understand, predict and enable carbon neutral behavior.

We are looking for a research scientist who has expertise in and enthusiasm for building AI-backed applications that push the boundaries of human-centered science. This work will involve working closely with experts in AI and behavior science to integrate machine learning models into live applications. The researcher should be comfortable iterating prototypes rapidly as they build toward the design and development of robust systems. The researcher should have a broad range of interests spanning social science, psychology, generative AI, user experience/HCI, and design. The researcher should be able to leverage systems they build to support research projects in all of these domains and lead a research project in at least one of them.

Responsibilities

Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that incorporates AI models into the design of interactive systems

Develop real-time, full stack, interactive prototypes across a range of modalities, including app, web, and mobile

Conduct basic user experience studies (e.g., heuristic evaluations, cognitive walkthroughs, Wizard of Oz, etc.) on their own

Work with experts in human behavior to conduct more thorough evaluations of prototypes

Adjust prototypes to support research goals and integrate extensive logging features

Work with an engineering team to build out robust, scalable versions of their prototypes

Support the research goals of others on the team while also advancing their own research agenda

Stay up to date on the state-of-the-art in AI models, APIs, integration frameworks, and scalable AI model deployment solutions

Collaborate with scientists in the Carbon Neutrality Department to shape our research program and to communicate research to Toyota stakeholders

Publish findings in academic journals and/or conferences

Contribute to technology transfer of research throughout Toyota

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Qualifications

PhD in Computer Science, HCI/Human Centered Design, Information/Information Management and Systems, or related multidisciplinary fields

3+ years of experience prototyping and deploying applied AI projects

Full stack web programming proficiency (preference for Python or similar on the backend and JS and JS frameworks and libraries on the frontend, but full stack libraries such as Next.js/Node/React, Django, Flask, FastAPI, Laravel, etc. or also acceptable)

Familiarity with at least one AI framework (such as PyTorch, TensorFlow, Hugging Face, or similar)

Familiarity with at least one method of mobile prototyping (such as mobile web, iOS, or Android, or a cross-platform framework such as React Native, Flutter, or similar)

Familiarity with at least one framework supporting AI model hosting and deployment to live applications (such as AWS Sagemaker/Lambda, Google Cloud Vertex AI, or Azure ML, or similar)

Familiarity with data storage techniques (such as NoSQL/MongoDB, and/or DynamoDB, MySQL, PostgreSQL, or similar)

Willingness to learn new frameworks

Some 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 applied machine learning approaches

Ability to work collaboratively across disciplines and functions

Strong project management skills and desire to work on challenging open-ended research projects

Demonstrated ability to work autonomously while soliciting feedback

Strong interpersonal skills. Great teammate.

Strong interest in research to facilitate carbon neutrality

Ability to communicate complex concepts clearly across different audiences

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Bonus Qualifications

Familiarity with data science toolkits (e.g., Python Pandas, NumPy, etc.)

Familiarity with methods to support asynchronous requests (such as Celery, Redis, RabbitMQ, Amazon SQS, or similar)

Experience with fine-tuning approaches (e.g., LoRA)

Ability to balance multiple projects, including short-term, targeted analyses and novel, cutting-edge projects that may span several years

The pay range for this position at commencement of employment is expected to be between $201,600 and $302,400/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

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