Research Internship/Co-op

The role

You will join a team of research scientists and engineers building AI for safe self-driving. You will work on AI research projects and develop, train and optimize new algorithms on self-driving vehicles and production systems.

What you will do

• Work as 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 AI research projects, developing new algorithms for autonomous vehicles in areas such as perception, prediction, motion planning, controls, simulation, mapping, localization and
• Design, implement, train and optimize novel algorithms on self-driving vehicles and various production systems.
• Be encouraged to submit and publish work at top machine learning, computer vision and robotics conferences, post to the company blog and release open source projects.

Required qualifications

• Bachelor's or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics or a similar technical field.
• Demonstrated research or software engineering experience through 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
• Competitive benefits package

Before you apply

• Include your most up-to-date academic transcripts along with your resume when applying.

About the company

Waabi is a technology start-up led by Raquel Urtasun, building Physical AI for autonomous trucks and robotaxis. It is an equal opportunity employer with offices in Toronto, San Francisco, Dallas and Pittsburgh.