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Machine Learning Research Intern, Computer Vision

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Toyota Research Institute

Nov 27, 2023

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Software Engineering
  • San Francisco

Requirements

  • Currently pursuing a Ph.D. in Machine Learning, Robotics, Computer Vision, or related fields.
  • Experienced in at least one key ML area among Computer Vision, ML theory, AI ethics, or related.
  • At least one publication at high-impact conferences/journals (CVPR, ICLR, NeurIPS, CoRL, ICML, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.) on the aforementioned topics or other evidence of pioneering research work (e.g., via open source contributions).
  • Some experience in scientific python, Unix, and a common DL framework (preferably PyTorch).
  • Work in collaboration with other researchers and engineers to invent and develop exciting research ideas.
  • Passionate about large scale challenges in ML grounded in physical systems, especially in the space of robotics.
  • You are a reliable team-player. You like to think big and have depth. You care about openness and delivering with integrity.
  • Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.

Responsibilities

  • Conduct high-reaching research in Machine Learning that solves open problems of high practical value and validate it in real-world benchmarks and systems.
  • Push the boundaries of knowledge and the state of the art in ML areas including simulation, perception, prediction, and planning for autonomous driving and robotics.
  • Partner with a multidisciplinary team including other research scientists and engineers across the ML team, TRI, Toyota, and our university partners.
  • Stay up to date on the state-of-the-art in Machine Learning ideas and software.
  • Present results in verbal and written communications, internally, at top international venues, and via open source contributions to the community.
  • Participate in collaborations with our external research partners (e.g., Stanford, Berkeley, MIT, CMU, UMich).
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Toyota Research Institute

Improving the quality of human life through advances in energy and materials research, robotics, and AI.

Technology
Industry
201-500
Employees
2016
Founded Year

Mission & Purpose

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 ability, can live in harmony with technology to enjoy a better life. Through innovations in AI, we’ll… -Develop vehicles incapable of causing a crash, regardless of the actions of the driver. -Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility. -Bring advanced mobility technology to market faster. - Discover new materials that will make batteries and hydrogen fuel cells smaller, lighter, less expensive and more powerful. Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of vehicle technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and inclusive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team carries PhD degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us! We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun start-up environment with brilliant people who enjoy solving tough problems and the financial backing to successfully achieve our goals. Come work with TRI if you’re interested in transforming mobility through designing safer cars, enabling the elderly to age in place, or designing alternative fuel sources. Start your impossible with us.