Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.

With offices in Toronto, San Francisco, and Dallas, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

With offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...

- 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.

Qualifications:

- Pursuing 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.

- 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.

Application Instructions:

- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.

The US yearly hourly range for this role is: $34 - $60 USD/hr in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The hourly base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.

Perks/Benefits:

Waabi provides a competitive benefits package that includes:

- Flexible hours and Work from Home support

- 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!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.