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    InternshipsWaabi2026 Intern, PhD Research Scientist

    2026 Intern, PhD Research Scientist

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    Waabi

    Built to think. Born to haul.

    51-200 employeesFounded 2021TorontoTruck Transportation
    Posted 250 days agoActively hiringPaidWinter 2026Truck Transportation
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    About the role#

    Join a multidisciplinary team of Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale. This internship is a full-time position for the Winter 2026 term.

    What you'll do#

    • Lead or contribute to an AI research project by developing new algorithms for autonomous vehicles, covering areas such as perception, prediction, motion planning, controls, simulation, mapping, localization, and core AI.
    • Design, implement, train, and optimize novel algorithms for self-driving vehicles and production systems.
    • Prepare and submit work for publication at top machine learning, computer vision, and robotics conferences like NeurIPS, ICLR, ICML, and CVPR.
    • Contribute to the company blog.

    What you'll need#

    • Currently pursuing a PhD in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics, or a similar technical field.
    • Demonstrated experience in research or software engineering through internships, work experience, coding competitions, or research projects.
    • At least one publication in a top machine learning, computer vision, or robotics conference.
    • A strong quantitative background with coursework or working knowledge of linear algebra, calculus, and probability.
    • Proficiency in reading and writing code in Python or C++.

    Location & details#

    • Location: Toronto, Ontario, Canada.
    • Modality: On-site.
    • Compensation: This is a paid internship.
    Relevant fieldsComputer ScienceComputer EngineeringElectrical Engineering

    About Waabi

    Waabi develops Physical AI technology for autonomous trucking. The company operates in the truck transportation industry. Founded in 2021, it maintains offices in Toronto and San Francisco. It employs over 300 people.

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