Research Internship – Co-op

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About the role

  • Research Internship at Waabi focusing on AI algorithms for self-driving technology. Collaborate with a multidisciplinary team to push the frontiers of autonomous vehicle development.

Responsibilities

  • Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
  • Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as 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.
  • Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog, and release open source projects.

Requirements

  • Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/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.
  • 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.

Benefits

  • Daily drinks, snacks and catered meals (when in office)
  • Regularly scheduled team building activities and social events
  • As we grow, this list continues to evolve!

Job title

Job type

Internship

Experience level

Entry level

Salary

$40 - $55 per hour

Degree requirement

Postgraduate Degree

Tech skills

Open SourcePython

Location requirements

HybridTorontoCanada

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