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 (HID), Large Behavioral Models, and Robotics.
This is a summer 2025 paid 12-week internship opportunity with the HID, Human Machine Interaction Research (HMIR) team at TRI. Please note that this internship will be an in-office role based in Los Altos, CA, and includes multiple trips to test tracks.
The Team
The mission of the HMIR team is to advance human-AI interaction to help drivers unlock their full potential and improve their performance. One of the topics includes effective visual communication with AI through real-time video streams of the scene around the vehicle and their augmentations. This encompasses advancing real-time neural network-based image-to-image conversion, generative image processing, and exploring additional innovative approaches to enhance human-AI interaction.
The Internship
We are looking for a motivated intern to pursue new avenues of research consistent with the team's mission. This is an opportunity to apply your knowledge to novel research questions and work towards a publication with professional researchers. Applicants with relevant publications in the fields above and good collaboration skills are highly encouraged to apply.
Responsibilities
- Define project scope and agree on project direction with your mentor
- Conduct research on efficient real-time inference of neural networks for advanced image-to-image conversion tasks (e.g., text-to-image generation, style transfer, super-resolution)
- Implement and optimize machine learning models, focusing on latency, quality, and computational efficiency
- Explore and evaluate techniques such as model quantization, pruning, and hardware acceleration (e.g., GPU/TPU optimizations).
- Collaborate with the team to integrate optimized models into real-time systems
- Analyze experimental results and contribute to technical documentation and potential publications
Qualifications
- Currently pursuing a Ph.D. student in related fields - ML/AI, computer science, or similar
- Publication background in relevant venues (e.g. NeurIPS, ICML, ICLR)
- Strong foundation in machine learning, deep learning, and neural network architectures
- Hands-on experience with deep learning frameworks such as PyTorch
- Knowledge of generative models and experience with image-to-image processing techniques
- Skills in C++ and/or Python in Linux environment and experience with software engineering tools/environments (git) and/or GPU programming (e.g. CUDA) are a plus
Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.
The pay range for this position at commencement of employment is expected to be between $45 and $65/hour 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 vacation and sick time. 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.
Toyota Research Institute
Artificial Intelligence (AI)
Automotive
Consumer Research
Machine Learning
Product Research
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