Staff Research Scientist
Mobile Manipulation, Perception
Confirmed live in the last 24 hours
Toyota Research Institute

201-500 employees

R&D arm of Toyota
Company Overview
Toyota Research Institute's mission is to improve the quality of human life through advances in artificial intelligence, automated driving, robotics, and materials science. They'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.
AI & Machine Learning
Automotive & Transportation
Robotics & Automation

Company Stage


Total Funding





Los Altos, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Mountain View, CA, USA
Experience Level
Desired Skills
Data Structures & Algorithms
Computer Vision
Lab & Research
AI & Machine Learning
Mechanical Engineering
Software Engineering
  • M.S. or Ph.D. in an engineering-related field
  • Strong background in inventing and deploying innovative perception algorithms to robotic systems in real-world environments
  • Experience in areas such as object detection, classification, segmentation, and tracking, sensor fusion, state estimation, local 3D mapping and reconstruction, person detection, and human pose estimation
  • Experience in developing and training deep nets and applying deep learning to perception problems
  • Strong software engineering skills, preferably in both Python and C++, and analysis and debugging of robotic perception algorithms
  • Strong interpersonal skills, and a willingness to learn from others and contribute back to the robotics community with publications or open-source code
  • Passionate about seeing robotics have an impact
  • Develop, integrate, and deploy algorithms linking perception to autonomous robot actions, including manipulation, navigation, and human-robot interaction
  • Invent and deploy innovative solutions at the intersection of machine learning, computer vision, multi-sensor perception, and simulation for understanding human environments and humans, in and around homes
  • Invent novel ways to generate, build, label, and use large, possibly distributed datasets, using self-supervision, active learning, simulation, synthetic rendering, and real-world adaptation
  • Be part of a team that fields systems, performs failure analysis, and iterates on improving performance and capabilities
  • Follow software engineering practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review