2024 Phd Summer Research Intern
Confirmed live in the last 24 hours

51-200 employees

Develops AI-powered self-driving technology and simulators
Company Overview
Waabi, led by AI pioneer Raquel Urtasun, is a frontrunner in the self-driving technology industry, leveraging advanced AI to enhance safety and accelerate the commercialization of autonomous vehicles. The company's competitive edge lies in its proprietary simulator, Waabi World, which allows for comprehensive testing and development of their self-driving system, the Waabi Driver, in a cost-effective and secure virtual environment. Backed by a diverse range of top-tier investors and a world-class team, Waabi's commitment to technical excellence and industry leadership makes it an attractive workplace for those seeking to shape the future of transportation.
AI & Machine Learning
Data & Analytics
Industrial & Manufacturing

Company Stage

Series A

Total Funding





Toronto, Canada

Growth & Insights

6 month growth


1 year growth


2 year growth

Toronto, ON, Canada
Experience Level
Desired Skills
Data Structures & Algorithms
Computer Vision
Lab & Research
Interdisciplinary Research
Physical Sciences
  • Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics or similar technical field(s) of study
  • Demonstrated research/software engineering experience through previous internships, work experience, coding competitions, and/or research projects and papers
  • At least one publication in top Machine Learning, Computer Vision, or Robotics conferences
  • Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability
  • Proficient in reading and coding in Python and/or C++
  • Open-minded and collaborative team player with willingness to help others
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
  • Lead or Contribute to an AI research project
  • Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems
  • Submit and publish work externally at top machine learning, computer vision, and robotics conferences
  • Post to the company blog and release open source projects