Extreme Performance Intelligent Control Research Scientist - Perception

Toyota Research Institute

Toyota Research Institute

Los Altos, CA, USA
Posted on Wednesday, October 18, 2023
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 Robotics, Human-Centered AI, Human Interactive Driving, and Energy & Materials.
Our Extreme Performance Intelligent Control team is looking for Research Scientists with experience in robotic perception, camera-based localization, and computer vision, as part of a bigger team that explores vehicle control at the limits and human-robot interaction on the road. We are aiming to make progress on a key challenge to unlock the full potential of artificial intelligence in a human world: how do we make machines safely and effectively interact with humans to augment their capabilities in even the most extreme scenarios?
As a Research Scientist, you will work with a multidisciplinary team proposing, conducting, and transferring innovative research in various aspects of robotic perception toward human-centric applications in driving, including high-performance driving. You will build prototypes that test your ideas in the real world and publish them at top academic venues. You will help to transfer and ship our most successful algorithms and models toward real-world advanced assistance systems, touching millions of lives.

Responsibilities

  • Conduct ambitious research in perception and localization for robotic systems that solves open problems of high practical value and validate it in challenging real-world scenarios
  • Implement state of the art perception algorithms and research to run in real-time as a part of a high performance system including planning and control
  • Work with planning and control researchers to understand the interplay between perception and action
  • Partner with a multidisciplinary team including other research scientists and engineers across the Human Interactive Driving team, TRI, Toyota, and our university partners
  • Stay up to date on the state-of-the-art in computer vision and robotic perception
  • Present results in verbal and written communications, internally, at top international venues, and via open-source contributions to the community
  • Lead collaborations with our external research partners (e.g., MIT, Stanford, UMich) and mentor research interns

Qualifications

  • Bachelor’s or Master’s degree in a quantitative field (e.g. Computer Science, Mathematics, Physics, Engineering, Chemistry). Ph.D. or deep expertise in one key area (Computer Vision, Robotics) or related fields
  • Proficient in scientific Python, Unix, and robotic frameworks (e.g. ROS2.0), as well as common DL frameworks (preferably PyTorch). Experience with distributed learning (especially on AWS) is a plus
  • Proficient in practical computer vision for robotic systems, include experience with geometric computer vision such as camera calibration, optimization and filtering/smoothing framework, key point, and descriptor extraction
  • Consistent track record of publishing mobile robot perception work at high-impact conferences/journals (RSS, ICRA, IROS, CVPR, CoRL, ICCV, ECCV, PAMI, IJCV, etc.), centered around computer vision and perception
  • You can identify, propose, and lead new research projects, working in collaboration with other researchers and engineers to complete it from initial idea to working solution
  • You are passionate about developing and applying human-centric artificial intelligence for societal good
  • You are a reliable team-player. You like to think big and go deeper. You care about openness and delivering with integrity
  • Experience with obstacle detection. Experience tracking moving obstacles is 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 $151,800 and $210,000/year 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 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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