Description
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 Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics.
The Human Aware Interactions and Learning team uses approaches from machine learning, robotics, and computer vision, along with insights from human factors literature, to devise new techniques that improve on the state of the art towards better machine understanding, prediction, and interactions with people in the driving domain, both in and around the vehicle. We work with computational and cognitive researchers to test our approaches from a variety of data sources and human-in-the-loop experiments to devise ML approaches that work with the driver.
We are seeking a highly organized and proactive Senior Project Manager to lead and coordinate our data collection efforts involving human-in-the-loop (HITL) driving simulators, from experiment inception to data delivery towards research and ML use. This role will be critical in ensuring smooth execution across multiple simultaneous projects, aligning partners, and maintaining well-structured timelines for engineering, proctoring, and machine learning support teams.
Responsibilities
- Project Coordination: Oversee all aspects of data collection using the driving simulators, ensuring smooth execution across multiple concurrent research projects.
- Proctor and Participant Coordination: Lead the day-to-day aspects of running experiments, including experiment proctors, scheduling, and logistics to ensure efficient human subject participation in experiments.
- Engineering and Technical Liaison: Work closely with engineering teams to define requirements, track development needs, and facilitate timely deployment of simulator updates.
- Algorithm and Machine Learning Support: Coordinate with ML researchers and data scientists to ensure alignment between data collection and algorithm development.
- Timeline and Task Management: Develop and maintain structured project plans, ensuring tasks across different teams are completed on time and within scope.
- Cross-Team Communication: Act as a central point of contact, ensuring alignment between research, engineering, and operations teams.
- Quality Assurance and Compliance: Verify that data collection processes meet research integrity, compliance, and data security requirements.
Qualifications
- Bachelor’s or Master’s degree in a relevant field (e.g., Engineering, Computer Science, Psychology, Human Factors, Project Management).
- Experience managing projects involving human subject experiments, simulators, or data collection workflows. Some experience in projects that include both technical work and human-related data.
- Strong organizational skills and ability to lead multiple concurrent projects.
- Excellent interpersonal skills to bridge technical and operational teams.
- Familiarity with machine learning workflows and data requirements is a plus.
- Experience with research compliance, IRB protocols, or ethical considerations in human-in-the-loop studies is desirable.
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.
Toyota Research Institute
Artificial Intelligence (AI)
Automotive
Consumer Research
Machine Learning
Product Research
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