Research Scientist, Object Perception

Toyota Research Institute - Los Altos, CA (30+ days ago)


The Toyota Research Institute (TRI) is an R&D enterprise designed to bridge the gap between fundamental research and product development. It has been launched with mandates to (1) enhance the safety of automobiles, with the ultimate goal of creating a car that is incapable of causing a crash; (2) increase access to cars to those who otherwise cannot drive, including those with disabilities and the elderly; (3) help translate outdoor mobility technology into products for indoor mobility; and (4) accelerate scientific discovery by applying techniques from artificial intelligence and machine learning. Toyota believes artificial intelligence has significant potential to improve the quality of life for all people, bringing ease, comfort and safety to all aspects of life.

TRI's Autonomous Driving team is developing hardware platforms and software systems for autonomous driving research and development efforts. The Onboard Perception team is responsible for sensor processing for object detection tracking, and online identification of the drivable surface. The technology develops solutions to integrate a wide variety of sensing modalities. We are looking for great researchers who can develop real-time solutions and are excited about working with other researchers on this and associated teams. We are interested in people who are passionate about applying the results of their R&D efforts to improve the lives of millions.

Responsibilities:
Provide leadership and collaborate with other members of the Onboard Perception team to create a multi-modal real-time perception pipeline.
Support the development of large data sets and pipelines for system training and evaluation.
Ability to understand, support, and work within a large multi-team project focused on developing new mobility technologies.
Understand and fulfill the software practices that produce maintainable code, including automated testing, continuous integration, and code review.

Qualifications:
Ph.D. or advanced degree in Computer Science and/or Robotics.
Familiarity with modern Machine Learning, Computer Vision, Robotics, and Probabilistic Modeling.
Strong communication skills. Leadership experience. Team player.
Strong C++ software development skills (python skills are good too).