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Entry Level Robotics Engineer Localization Jobs in Toronto, ON

... localization, core AI, etc. - Design, implement, train, and optimize novel algorithms on self ... Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical ...

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

... localization, intelligent data mining & analysis, and safe deployment. - Develop innovative ... and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.

... localization, core AI, etc. - Design, implement, train, and optimize novel algorithms on self ... Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical ...

Entry Level Robotics Engineer Localization information

What is the difference between Entry Level Robotics Engineer Localization vs Entry Level Mechanical Engineer?

AspectEntry Level Robotics Engineer LocalizationEntry Level Mechanical Engineer
Required CredentialsBachelor's in Robotics, Electrical, or Mechanical Engineering; knowledge of localization algorithmsBachelor's in Mechanical Engineering; fundamentals of design and manufacturing
Work EnvironmentRobotics labs, research facilities, manufacturing settingsDesign studios, manufacturing plants, R&D departments
Industry UsageRobotics companies, automation firms, tech startupsManufacturing, automotive, aerospace industries

Entry Level Robotics Engineer Localization focuses on developing and implementing algorithms for robot positioning and navigation, often requiring programming skills and knowledge of sensors. Entry Level Mechanical Engineer typically works on designing mechanical components and systems. While both roles may share some foundational engineering skills, their focus areas and daily tasks differ significantly, catering to different industry needs.

What are the most commonly searched types of Robotics Engineer Localization jobs in Toronto, ON? The most popular types of Robotics Engineer Localization jobs in Toronto, ON are:

2026 Intern, PhD Research Scientist

Waabi

Toronto, ON

CA$60/hr

Other

Posted 13 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, 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 hourly range for this role is: $60 USD and the Canada hourly range for this role is: $60-$65 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. 

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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