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Research Internship/Co-op

Waabi
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Hybrid (Toronto, SF (remote options))$40/hr - $55/hrInternPosted 7mo ago

About the role

Internship/Co-op for research in autonomous driving at Waabi, involving multidisciplinary AI research, algorithm development, and potential publication/open source contributions. Hybrid in Toronto, SF, or remote US/Canada.

Responsibilities

  • Lead or contribute to AI research projects pushing the frontiers of perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.
  • Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems.
  • Encourage and participate in external publications at top ML/CV/ robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), blog posts, and open source releases.

Qualifications

  • Bachelor’s or MS/PhD in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics or related technical field.
  • Demonstrated research/software engineering experience via internships, work experience, coding competitions, or research projects/papers.
  • Strong quantitative background in linear algebra, calculus, and probability.
  • Proficient in Python and/or C++.
  • Open-minded, collaborative team player with a passion for self-driving technologies and solving hard problems.

Skills

Required:PythonC++Machine Learning / AI
Nice to have:Research / Publication

Benefits

  • Daily drinks, snacks and catered meals (when in office)
  • Regular team-building activities and social events
  • Competitive benefits package (as described)
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Waabi

pioneering Physical AI, starting with autonomous trucks.

Waabi is pioneering Physical AI, starting with autonomous trucks. We developed a next-generation approach leveraging an end-to-end interpretable and verifiable AI model that’s powered by the industry's most realistic neural simulator. This dramatically reduces the development time and resources needed to bring self-driving vehicles to public roads — safely and at scale.

Autonomous trucksPhysical AIneural simulatorAI modelself-driving vehicles
Company profileWebsite

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