About Kinaxis:
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:
About the team
You would be joining a full-stack AI/ML team at Kinaxis responsible for delivering complete functionality from the platform up to the solution, applying machine learning algorithms to develop intelligent supply chains. The team operates at the intersection of technology and real business problems in the supply and demand space for verticals such as Retail, Consumer Packaged Goods, Life Sciences, and others. This includes building a platform with workflows, containers and orchestration, REST services, and delivering solutions in forecasting, optimization, replenishment, recommendation, and explainability. You will contribute to a product that delights customers worldwide!
About the role:
Location
This is a hybrid position. You must be in the Ottawa or Toronto office, at least three days a week.
Term Duration
This is a full-time, 8, or 12-month position, starting September 2026.
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 - $39.66hourly 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 an intern ML developer, you are passionate about shipping large-scale software systems in a fast-paced environment but can balance longer term concerns such as maintainability, scalability, and quality.
Collaborative Development: Work with senior engineers on developing, enhancing, and integrating software solutions for real-world AI/ML applications, from tech selection to production code on our latest projects.-
Platform Enhancement: Contribute to the continuous improvement of our AI platform, ensuring scalability, maintainability, security, and quality.
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End-to-End ML Development: Develop and integrate ML software end to end, including building and setting up new development tools, infrastructure, and ML pipelines and models.
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Troubleshooting & Reliability: Design effective methods for troubleshooting, debugging, and preventing problems in ML software systems. Get to the root cause of issues, meeting users' needs and influencing the product development roadmap. Develop product capabilities and tools that increase the robustness of the user experience, reduce the cost of troubleshooting, or reduce the time required to address issues.
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Automation & Process Improvement: Find ways to automate and improve development and release processes.
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Software Reliability: Ensure user needs are met through cross-functional stakeholder understanding and engagement. Understand both the details of the use cases that end-users are performing using the solution as well as the architecture and implementation of the system end to end.
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Learning & Growth: Gain hands-on experience in software development, Generative AI, cloud-native technologies, and machine learning through paired programming, code reviews, and mentorship.
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Agile Practices: Participate in agile processes such as sprint planning, huddles, paired programming, and retrospectives, collaborating with cross-functional teams to deliver high-quality solutions.
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Ownership of Quality: Champion product quality by verifying the functional and non-functional quality of features developed. You will be treated like a full-time developer and are expected to take ownership of the features you develop.
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Technologies you will work with: Python, Docker, Kubernetes, Argo Workflows, Azure/GCP, GitHub Actions, Shell Script, Terraform, Linux/Unix CLI, SQL.
What we are looking for
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Currently pursuing a Master's degree or have completed 3rd year Bachelor's degree in Computer Science, Software Engineering, or a related field.
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Familiarity and experience with Generative AI and LLMs, prompt engineering, AI coding assistants, GitHub Copilot, Claude Code, OpenAI Codex, etc.
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Strong software engineering skills and programming proficiency in Python, with experience using libraries such as Pandas and ML frameworks.
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Experience with Docker and Kubernetes at scale, including the Kubernetes ecosystem (Helm, Argo Workflows, CI/CD).
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Working experience with Azure/GCP cloud environments.
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Proficiency in SQL – including advanced concepts such as window functions, aggregate functions, and joins.
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Understanding of distributed computing architectures.
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Experience with Machine Learning Solutions and productization.
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Strong customer orientation and ability to understand the system end-user perspective while integrating ML software for production systems.
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Ability to work through complex technical problems with a logical and methodical approach.
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You love to work in a team, learning from others, and spreading knowledge.
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Strong communication skills — ability to easily articulate complex concepts in writing and speech.
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Enthusiastic about gaining hands-on experience in software development, AI/ML, and cloud computing.
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You enjoy solving puzzles, troubleshooting issues, and multi-tasking to provide significant positive impact to the business.
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Ability and enthusiasm to learn new technologies whether they are infrastructure, language, or platform, and easily adapt to change.
We’re accepting applications now through end of day on Friday, June 12, 2026. Please note that we may begin reviewing applications before the posting closes, so early submission is encouraged.
#Coop, #Internship, #Intern, #LI-EN1
Why join Kinaxis?:
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 Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco 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 a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.
People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:
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Flexible vacation and Kinaxis Days (company-wide days off)
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Flexible work options
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Physical and mental well-being programs
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Regularly scheduled virtual fitness classes
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Mentorship programs, training, and career development
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Recognition programs and referral rewards
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Hackathons
For more information, visit the Kinaxis website at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.
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 [email protected]. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.
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.
