Job Detail

3153
7/27/2022
Open Until Filled
Senior Behavioral Scientist/Staff Behavioral Scientist, Machine Assisted Cognition
TRI
Private Sector
https://jobs.lever.co/tri/e93ccf85-9dfc-4841-ae3b-0fc95656b25f

Senior Behavioral Scientist / Staff Behavioral Scientist, Machine Assisted Cognition


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-centric AI, energy and materials, machine learning, and robotics.


TRI’s Machine Assisted Cognition team is developing AI systems to augment (not replace) human decision-making. In particular, we are interested in advancing the intersection between behavioral science, machine learning, and causal inference to increase the quality of human decisions (e.g. mitigate cognitive biases) to enable decisions that improve collective well-being.


We are looking for a Senior Behavioral Scientist/Staff Behavioral Scientist to join this exciting new endeavor to collaborate across subject areas, including machine learning and human-computer interaction.

Responsibilities:

Collaborate cross-functionally with software engineers, machine learning and causal inference experts, designers, user researchers and university partners to develop and build novel technology to enable decisions that improve collective well-being.

Some potential research and development areas may include: Increasing the quality of predictions, judgments, and decisions by (a) reducing/neutralizing cognitive biases, (b) promoting compassion (c) ensuring ethics.

Speeding up predictions, judgments, and decisions.

Scaling up to more complex cognitive tasks and larger groups while countering the tendency of groups to be risk-averse.

Co-define the vision and strategy of the branch of the behavioral science of the machine-assisted cognition team with the organization's leadership. 

Qualifications:

Degree in Psychology, Behavioral Economics or related field. PhD preferred.

Experience applying behavioral science principles in an industry setting.

Advanced knowledge of statistics, preferably passionate about causality.

Strong interpersonal skills. great teammate.

Appetite to learn across functions.

Expertise in coding and working knowledge in machine learning capabilities is a plus.

Ability to lead multi-functional projects.

Expertise in social psychology is a plus.

Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.

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 provides Equal Employment Opportunity without regard to the 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.

TRI is committed to the safety of our workforce and community. Thereby, we require COVID-19 vaccinations, including boosters, for all employees and applicants. Applicants are considered fully vaccinated two weeks after their second dose in a 2-dose series, such as the Pfizer or Moderna vaccines, or two weeks after a single-dose vaccine, such as Johnson & Johnson’s Janssen vaccine. Any offer of employment will be conditioned upon, among other things, vaccination status against COVID-19. TRI provides reasonable accommodations to our COVID-19 vaccination policy in accordance with applicable state, federal and local laws.  

Alex Putman
4440 El Camino Real
Los Altos CA, 94044
NOTE: The above information is provided by the employer. The Society for Personality and Social Psychology, Inc. does not verify the accuracy of these statements.