Co-op/Intern Software Engineer, AI

About Kinaxis 

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, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada's Top Employers for Young People (2024), we want to help you take the first step in crafting your career journey.

At Kinaxis, we power the world's supply chains to help preserve the planet's resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, 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.

Location

This is a hybrid position. You must be in the Ottawa office, at least three days a week, or Toronto office, at least two days a week. 

About the Team

Join our innovative team at the forefront of transforming supply chain through Machine Learning. We specialize in developing creative solutions that tackle real business problems for our Maestro users, enabling them to benefit from advanced technology without needing to be Machine Learning experts. Our team is dedicated to leveraging AI and Data to drive impactful change, and we invite you to be a part of this exciting journey.

This is a full-time, 12-month position, starting January 2026.

To be eligible for a Co-op or Intern position at Kinaxis, you must either be currently enrolled in full-time education or, if you are a recent/upcoming graduate, your graduation date must be within 12 months of the placement end date.

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
• 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.
• Your projects may include advancement of existing product features, introducing new product ideas, as well as demos to executives and patent applications. 
• Collaborative Development: Work with senior engineers on developing and enhancing software solutions for real-world Big Data and AI/ML applications.
• Agile Practices: Participate in agile processes such as sprint planning, huddles, pair programming and retrospectives, collaborating with cross-functional teams to deliver high-quality solutions.

Technologies you will work with

• Languages: Python
• Cloud: Azure, Google Cloud Platform (GCP)
• Data Management: Databricks, Unity Catalog

What we are looking for

• You possess software engineering skills and are eager to apply them in the fields of AI and Machine Learning.
• 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.
• You've completed 1+ year in a Computer Science or Engineering program

Things that would definitely help

• Showcase of your work in GitHub, Bitbucket or similar
• Exposure to cloud platforms like Azure or Google Cloud Platform (GCP).

We're accepting applications now through end of day on Friday, October 31, Please note that we may begin reviewing applications before the posting closes, so early submission is encouraged. 

#Coop, #Internship, #Intern, #LI-EN1

Work With Impact: Our platform directly helps companies power the world's supply chains. We see the results of what we do out in the world every day—when we see store shelves stocked, when medications are available for our loved ones, and so much more. 

Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Ford, Unilever, Yamaha, P&G, Lockheed-Martin, and more. 

Social Responsibility at Kinaxis: Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we're committed to net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

• Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs and training and career development
• Recognition programs and referral rewards
• Hackathons

For more information, visit the Kinaxis web site at  or the company's blog at 

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description, to identify candidates whose education, experience and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.