Internship jobs in Canada (11,129 jobs)

Explore internship jobs across Canada. Choose a location and read the full job details.

11,129 listings · 1,642 employers Counted Nov 7, 2026. How we count

About these jobs

Employers hiring include S M Software Solutions Inc (608 listings), Interior Health Authority (552 listings), Stevenson Memorial Hospital (377 listings).

Common roles: Registered nurse, Software developer, Warehouse worker.

525 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	368
CAD / year	50,000.00	110
CAD / month	4,117.00	33

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Internship jobs in Canada

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Sanctuary AI

Machine Learning Research Intern (Reinforcement/Imitation Learning)

Vancouver, BC, Canada

Internship

Apply About employer

Applications open in a new tab.

Job details

Job type: Internship
Posting language: English
Posted: Nov 6, 2026

Original job description

Your New Role and Team

Sanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is looking to hire a skilled and motivated intern to join our ML team and contribute to our team’s work in engineering and innovating unique robotic manipulation tasks.

Reporting to the RL Lead, you will have the opportunity to tackle a variety of challenges related to the perception, planning, and motion systems for humanoid general-purpose robots.

The best candidates for this role have excellent software development and machine learning skills as well as hands-on experience with robotics. In this role you’ll be a valued contributor and you’ll gain a comprehensive understanding of the design, architecture, and implementation of the simulation platform and machine learning systems that power our general-purpose robots.

We are flexible regarding both the internship start date and the duration of the term.

Our Success Criteria

Design, implement, and improve state-of-the-art Reinforcement Learning (RL) and Imitation Learning (IL) algorithms and test them in real-world settings
Keep up to date with state-of-the-art RL/IL methodologies and robotics
Identify, communicate, and drive promising research directions to the team
Find ways of improving existing implementations of RL/IL pipelines with regards to standard metrics such as sample efficiency, speed, computational resource usage, and scalability
Design RL/IL training and data-collection pipelines to facilitate fast deployment on physical robots
Work with a multidisciplinary team to develop novel algorithms and investigate sources of errors with existing implementations

Your Experience

Desired Qualifications

Pursuing MS or Ph.D. in Machine Learning, Computer Science, Applied Math, or related field
Experience implementing a variety of RL and IL methods with a focus in a specialization such as computer vision or robotics
Hands-on experience integrating ML models onto a robotics platform
Experience implementing and deploying (dexterous) robotic manipulation tasks in simulation and on physical robots
Experience taking ML R&D and trained models into production
Experience with computer vision systems
Experience in simulation-to-reality transfer learning

Skills

Development with Python 3.6 or later
Working knowledge of PyTorch and/or JAX
Familiarity with ROS2
Extensive knowledge of RL/IL principles and use

Traits

Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems
Optimistic listening and conflict resolution capabilities
Demonstrated ability to influence others without authority
Eager to take on new challenges with tenacity and positivity
Patience, persistence, and attention to detail when resolving performance issues
Obsession with bringing human-like intelligence to machines

Apply About employer

More about this job

Responsibilities

You will design, implement, and improve state-of-the-art Reinforcement and Imitation Learning algorithms for humanoid robots. Additionally, you will develop training pipelines and collaborate with a multidisciplinary team to deploy these models in both simulation and physical environments.

Requirements

Candidates must be pursuing an MS or Ph.D. in Machine Learning, Computer Science, or a related field. You are expected to have hands-on experience with robotics, proficiency in Python, and familiarity with PyTorch or JAX.

Skills

Reinforcement Learning
Imitation Learning
Robotics
Python
PyTorch
JAX
ROS2
Computer Vision
Simulation-to-reality transfer
Robotic manipulation
Machine learning
Software development
Algorithm design
Data-collection pipelines
Humanoid robotics

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Reinforcement Learning
Imitation Learning
Robotics
Physical AI
Humanoid Robots
Python
PyTorch
JAX
ROS2
Computer Vision
Simulation
Transfer Learning
Robotic Manipulation
Algorithm Development
Data Collection
Sample Efficiency
Scalability
R&D
Production

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