About the role#
We are looking for a developer to join our Machine Learning team for a Winter 2027 internship. You will work on real-world supply chain planning solutions and gain hands-on experience with the full lifecycle of deploying machine learning software into production systems. You will be treated like a full-time developer, working under the guidance of a mentor to build code that impacts our users.
What you'll do#
- Write Python code for microservice architectures.
- Contribute to the continuous improvement of our AI platform.
- Participate in agile processes, including sprint planning, huddles, and pair programming.
- Develop new product ideas and create demos for executives.
- Collaborate with cross-functional teams to deliver high-quality solutions.
What you'll need#
- Completed at least 2 years in a Computer Science or Computer Engineering program.
- Hands-on experience with Machine Learning through previous work terms, hackathons, or competitions.
- A strong interest in applying Machine Learning to solve practical problems.
- The ability to work effectively in a team environment.
- Familiarity with tools such as Python, Docker, Kubernetes, Azure, and GitHub Actions is beneficial.
Location & details#
- This is a full-time position for a 4 or 8-month term starting in January 2027.
- The role is paid at an hourly rate of $27.04 to $39.66.
- Work is remote for most locations. If you are based in Ottawa or Toronto, you must be in the office at least three days per week.
About Kinaxis
Kinaxis is a public software development company headquartered in Ottawa, Ontario, with a workforce between 1,001 and 5,000 employees. The organization provides supply chain management software designed to assist businesses with strategic planning, execution, and inventory management. Its platform serves clients across various sectors including aerospace, automotive, life sciences, and consumer electronics. The technology utilizes a concurrency technique and artificial intelligence to help users manage end-to-end supply chain networks.


