At Toyota Research Institute (TRI) were on a mission to improve the quality of human life. Were developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility weve built a worldclass team in Energy & Materials HumanCentered 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 humanintheloop 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 humanintheloop (HITL) driving simulators from experiment inception to data delivery towards research and ML use. This role will be critical in ensuring smooth across multiple simultaneous projects aligning partners and maintaining wellstructured timelines for engineering proctoring and machine learning support teams.
Responsibilities
Project Coordination: Oversee all aspects of data collection using the driving simulators ensuring smooth across multiple concurrent research projects.
Proctor and Participant Coordination: Lead the daytoday 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.
CrossTeam 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
Bachelors or Masters 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 humanrelated 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 humanintheloop studies is desirable.
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