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 world-class team advancing the state of the art in AI robotics driving and material sciences.
The Mission
Our team uses design thinking process to place the human at the center of determining the needs design and implementation of human-machine interfaces. By following this process the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.
The Team
In the Human-Machine Interaction Research group (HMIR) we design develop and evaluate novel interfaces to improve the safety well-being and performance of drivers using human-centered artificial intelligence.
The Opportunity
We are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions drive implementation and evaluation and coordinate closely with collaborators to deliver high-quality research outcomes.
This year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos CA and includes multiple trips to test tracks.
Responsibilities
- Ph.D. in Machine Learning Computer Science Electrical Engineering or a related field.
- Track record of publications in top-tier venues (e.g. CVPR ICCV NeurIPS ICML ICLR).
- Strong foundation in machine learning especially in computer vision.
- Extensive hands-on experience with image/video generative models.
- Strong programming skills in Python; experience with Linux-based development.
- Proven ability to lead research projects to publication-quality outcomes.
Qualifications
- Ph.D. in Machine Learning Computer Science Electrical Engineering or a related field.
- Track record of publications in top-tier venues (e.g. CVPR ICCV NeurIPS ICML ICLR).
- Strong foundation in machine learning especially in computer vision.
- Extensive hands-on experience with image/video generative models.
- Strong programming skills in Python; experience with Linux-based development.
- Proven ability to lead research projects to publication-quality outcomes.
Bonus Qualifications
- Experience in real-time or resource-constrained ML systems.
- Experience with GPU acceleration profiling or low-level optimization.
The pay range for this position at commencement of employment is expected to be between $152000 and $218500/year for California-based roles. Base pay offered will depend on multiple individualized factors including but not limited to a candidates experience skills job-related knowledge and market location. TRI offers a generous benefits package including medical dental and vision insurance 401(k) eligibility paid time off benefits (including vacation sick time and parental leave) and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
Please reference thisCandidate Privacy Noticeto 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 applicants 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
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 world-class team advancing the state of the art in AI robotics driving and...
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 world-class team advancing the state of the art in AI robotics driving and material sciences.
The Mission
Our team uses design thinking process to place the human at the center of determining the needs design and implementation of human-machine interfaces. By following this process the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.
The Team
In the Human-Machine Interaction Research group (HMIR) we design develop and evaluate novel interfaces to improve the safety well-being and performance of drivers using human-centered artificial intelligence.
The Opportunity
We are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions drive implementation and evaluation and coordinate closely with collaborators to deliver high-quality research outcomes.
This year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos CA and includes multiple trips to test tracks.
Responsibilities
- Ph.D. in Machine Learning Computer Science Electrical Engineering or a related field.
- Track record of publications in top-tier venues (e.g. CVPR ICCV NeurIPS ICML ICLR).
- Strong foundation in machine learning especially in computer vision.
- Extensive hands-on experience with image/video generative models.
- Strong programming skills in Python; experience with Linux-based development.
- Proven ability to lead research projects to publication-quality outcomes.
Qualifications
- Ph.D. in Machine Learning Computer Science Electrical Engineering or a related field.
- Track record of publications in top-tier venues (e.g. CVPR ICCV NeurIPS ICML ICLR).
- Strong foundation in machine learning especially in computer vision.
- Extensive hands-on experience with image/video generative models.
- Strong programming skills in Python; experience with Linux-based development.
- Proven ability to lead research projects to publication-quality outcomes.
Bonus Qualifications
- Experience in real-time or resource-constrained ML systems.
- Experience with GPU acceleration profiling or low-level optimization.
The pay range for this position at commencement of employment is expected to be between $152000 and $218500/year for California-based roles. Base pay offered will depend on multiple individualized factors including but not limited to a candidates experience skills job-related knowledge and market location. TRI offers a generous benefits package including medical dental and vision insurance 401(k) eligibility paid time off benefits (including vacation sick time and parental leave) and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.
Please reference thisCandidate Privacy Noticeto 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 applicants 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
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Job Location:
Yearly Salary:
$ 152000 - 218500
Posted on:
7 days ago
Vacancies:
1 Vacancy
