AI Robotic systems, AI technology, Computer Vision (CV), Deep Learning, Machine learning techniques, Predictive analytics, Python Programming, PyTorch, Simulation software, Unix Operating system
This is a summer 2023 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.
Our Machine Learning (ML) team is looking for Research Interns with experience in areas such as Generalizable Representation Learning, Video Understanding, Unsupervised Object Discovery, Differentiable Rendering, Neural Implicit Representations, Generative Models and Self-Supervised Learning. We are aiming to push the boundaries of scene reconstruction methods to enable the safe and effective usage of large robotic fleets, simulation, and prior knowledge (geometry, physics shown experience, behavioral science), not only for automation but also for human augmentation, working towards Principle-Centric Artificial Intelligence (AI) for Embodied Foundation Models.
As a Research Intern, you will work with a multidisciplinary team proposing, conducting, and transferring cutting-edge research in Machine Learning. You will use large amounts of sensory data and simulation to solve open problems, publish at top academic venues, and test your ideas in the real world (including our robots of course!). You will also work closely with other teams at TRI to transfer and ship our most successful algorithms and models towards world-scale long-term autonomy and advanced assistance systems. Responsibilities and required qualifications are as follows
Responsibilities
Qualifications
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.
At Toyota Research Institute (TRI), we’re working to build a future where everyone has the freedom to move, engage, and explore with a focus on reducing vehicle collisions, injuries, and fatalities. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or
Los Altos, CA, USA
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