2026 Summer - AI/ML Intern

Job Description

Vacancy Status: 

No: This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)

AI Disclosure: 

As part of the application process, Artificial Intelligence will be used in the hiring process for this role

Hybrid - This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Center three times per week, at minimum.

Collaborating on innovation challenges, interacting with Industry leaders, attending cross-functional networking events and volunteering for community service activities.

About the Role: 
As an AI/ML Research Intern on the AI Research team, you'll work on cutting-edge projects advancing vehicle autonomy, developing algorithms and models that shape the future of self-driving technology. This internship provides experience with real-world AI/ML systems, collaboration with leading researchers and engineers, and mentorship from experienced AV researchers to grow your skills in the autonomous vehicle industry. 

What You'll Do: 

 

• Lead research and prototyping of advanced machine learning methods, such as foundation models, vision-language architectures, diffusion models, image/video generation, self-supervised learning, imitation learning, and reinforcement learning.

• Prototype ML models that improve perception, prediction, or decision-making for autonomous driving.

• Collaborate with cross-functional teams, including perception, robotics, and systems engineering.

• Participate in technical discussions, share insights, and work towards publishing results.

Required Qualifications: 

 

• Currently pursuing or in the process of obtaining a Master's or Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field.

• Solid understanding of modern machine learning techniques, especially deep learning architectures (e.g., transformers, generative models, multimodal learning).

• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.

• Research experience in AI/ML, demonstrated through coursework, academic projects, or publications.

• Strong problem-solving skills and a collaborative mindset.

• Strong communication and presentation skills.

• Experience working and communicating cross functionally in a team environment.

• Able to work fulltime, 40 hours per week

Preferred Qualifications: 

 

• Familiarity with autonomous vehicles or advanced driver assistance systems (ADAS).

• Experience working with large-scale datasets and training ML models in high-performance computing environments.

• Intent to return to degree program after the completion of the internship/co-op

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, CVPR, ICML, ICLR, AAAI, ECCV, RSS, ICRA, CoRL, or similar.

• Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches

• Experience building systems based on machine learning, reinforcement learning and/or deep learning methods.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE.

NOTE- YOU MUST BE ENROLLED IN A CO-OP OR INTERNSHIP PROGRAM AND MEET THE PROGRAM'S ELIGIBILITY REQUIREMENTS. ALL STUDENTS MUST ALSO BE LEGALLY ENTITLED TO WORK IN CANADA.

Accommodation is available for applicants with disabilities. Should you be contacted by General Motors of Canada Company, please advise if you require accommodation.

For more information about GM Canada, visit our website at www.gm.ca/careers

General Motors of Canada values diversity and is an equal opportunity employer.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us 

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Non-Discrimination and Equal Employment Opportunities

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visitHow we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.