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Perception Internship Jobs in Ontario (NOW HIRING)

Waabi

Research Internship/Co-op

Toronto, ON · On-site

CA$45 - CA$60/hr

This includes topics such as perception, prediction, motion planning, controls, simulation, mapping ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON

CA$60/hr

This includes topics such as perception, prediction, motion planning, controls, simulation, mapping ... Application Instructions: - To be considered for an internship/co-op, please add your most up to ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

... search, perception and prediction, simulation, foundation models and more. - Support deploying ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Waabi

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

... as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior ... internships, work experience, research projects, and papers at top conferences. - Strong ...

All JobsPerception JobsPerception Internship JobsPerception Internship Jobs in Ontario

Perception Internship information

What types of projects or tasks does a perception intern typically work on during their internship?

Perception Interns often assist with real-world projects involving computer vision, sensor data analysis, and machine learning model development. They may work on tasks such as data labeling, algorithm prototyping, testing sensor systems, and collaborating with full-time engineers to improve perception pipelines for autonomous systems. Interns frequently participate in team meetings, code reviews, and research discussions, gaining exposure to both the technical and collaborative aspects of the field. This hands-on experience helps interns develop practical skills and gain insight into how perception technologies are developed and deployed in industry settings.

What are the key skills and qualifications needed to thrive as a perception intern, and why are they important?

To thrive as a Perception Intern, you generally need a background in computer science, robotics, or a related field, along with foundational knowledge of computer vision and machine learning principles. Familiarity with programming languages like Python or C++, and experience with libraries such as OpenCV, TensorFlow, or ROS, are often required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly are valuable soft skills in this role. These skills enable interns to effectively contribute to perception system development, ensuring accurate data interpretation and successful project outcomes.

What is a perception internship?

A Perception Internship is a temporary position, typically for students or recent graduates, focused on developing skills in computer vision, sensor data processing, and machine perception. Interns work on projects related to enabling machines or robots to interpret and understand their environment using cameras, LiDAR, radar, and other sensors. These internships are common in industries like autonomous vehicles, robotics, and artificial intelligence research, offering practical experience in areas such as deep learning, image processing, and sensor fusion. The role often involves collaborating with experienced engineers, contributing to real-world projects, and learning about the latest advancements in perception technology.

What is the difference between Perception Internship vs Data Analyst Internship?

AspectPerception InternshipData Analyst Internship
Required CredentialsRelevant coursework, basic technical skillsStatistical, analytical, and technical skills
Work EnvironmentResearch labs, tech companies, or academic settingsBusiness, finance, or tech firms
Industry UsageFocus on perception, cognition, or sensory dataFocus on data analysis, reporting, and insights
Common Search IntentUnderstanding perception-related roles and internshipsFinding data analysis internship opportunities

Perception Internships typically involve research related to sensory perception, cognition, or experimental psychology, often in academic or research settings. Data Analyst Internships focus on analyzing data sets, creating reports, and deriving insights for businesses. While both roles require analytical skills, perception internships emphasize experimental and psychological understanding, whereas data analyst roles focus on data manipulation and business intelligence.

What are popular job titles related to Perception Internship jobs in Ontario? For Perception Internship jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Perception Internship jobs in Ontario look for? The top searched job categories for Perception Internship jobs in Ontario are:
What cities in Ontario are hiring for Perception Internship jobs? Cities in Ontario with the most Perception Internship job openings:
Perception Internship jobs near you
Infographic showing various Perception Internship job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Research Internship/Co-op

Waabi

Toronto, ON • On-site

CA$45 - CA$60/hr

Full-time, Internship

Re-posted 28 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

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 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, and release open source projects.

Qualifications:
- 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.

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: $40- $55 USD and the Canada hourly range for this role is: $45-$60 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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