Co-op/Intern Developer, Machine Learning

About Kinaxis Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

About the team Making new supply chain planning solutions possible with Machine Learning is what our fast-growing team of developers is all about. We build creative solutions that solve real business problems for our Maestro users without the need for them to become Machine Learning experts.

We are looking for a talented candidate to join our development team for a placement. It’s an opportunity for you to get real hands-on experience with Machine Learning software development and all the components needed to deploy it into a production system.

Location If in Ottawa or Toronto, you must be in the office at least three days a week. Other Canadian Locations - Remote

Term Duration This is a full-time, 4, or 8-month position, starting January 2027. Extensions can typically be made after the internship has been started.

Co-op / Intern Eligibility This position is open to co-ops and interns. To be eligible, you must be currently enrolled in full-time education or be a recent/upcoming graduate within 12 months of the placement end date.

Compensation range $27.04 - $39.66 hourly rate. The final offer within this range will reflect the candidate’s skills, year of education, and experience.

Vacancy Status This is an existing job vacancy.

What you will do

As a Co-op/Intern on the ML team you will be treated like a full-time developer and get to work on everything from tech selection to production code on our latest projects

You will be working with a mentor from whom you can learn and who will provide support and guidance

Your projects may include development of new product ideas as well as demos to executives and patent applications

You will have access to the training that you need and start to make an impact within a few weeks of joining the team

You will write Python code for microservice architectures

You will contribute to the continuous improvement of our AI platform, ensuring scalability and security.

You will participate in agile processes such as sprint planning, huddles, pair programming and retrospectives, collaborating with cross-functional teams to deliver high-quality solutions.

What we are looking for

You are curious and passionate about applying Machine Learning to solve real problems

You’re always learning, trying out new ideas and experimenting with technology

You love to work in a team to learn from and to teach others

You like to develop new technology, business and people skills and you always welcome a challenge

You have some hands-on experience with ML through work terms or hackathons, competitions, etc.

Experience with optimization (linear programming, mixed integer problems, solvers) is an asset

Experience in statistical inference and related concepts is an asset

You’ve completed 2+ years in a Computer Science or Engineering program

Some technologies you'll use:

Python

Docker

Kubernetes

Azure

GitHub Actions

Application deadline: Friday September 25, 2026.

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