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
Our AI and Advanced Mathematical Modeling team explores how machine learning can advance supply chain planning. We conduct applied research and translate promising ideas into practical capabilities that help Maestro users solve complex business problems.
We are looking for a master's or PhD student to join our team as an AI/ML Research Intern. You will investigate challenging research questions in areas such as time-series modeling and generative AI, work closely with experienced researchers and engineers, and evaluate how emerging methods can create value in real-world supply chain applications.
Location
You should be located in Eastern time zone. If in Ottawa or Toronto, you must work from the office at least three days a week.Other Canada Eastern time zone Locations – REMOTE
Term Duration
This is a full-time, 8 or 12-month position, starting January 2027.
Intern Eligibility
This position is open to interns. To be eligible for an 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.
Vacancy Status
This is an existing job vacancy.
What you will do
- Conduct applied research in machine learning, with a focus on time-series forecasting and generative AI for supply chain planning
- Review relevant literature, identify promising methods, and formulate research questions and hypotheses
- Design and run reproducible experiments using real-world and benchmark datasets
- Develop and evaluate models against strong baselines using appropriate quantitative and qualitative metrics
- Analyze results, limitations, robustness, and practical trade-offs, and communicate findings clearly to technical and non-technical audiences
- Build research prototypes and collaborate with researchers, data scientists, engineers, and domain experts to assess their product potential
- Contribute to new product ideas, technical reports, demonstrations, publications, and patent applications, where appropriate
- Work with a dedicated mentor who will provide research guidance and support throughout the internship
What we are looking for
- You are enrolled in or recently graduated from a master's or PhD program in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related field
- You have a strong foundation in machine learning, statistics, and experimental methodology
- You have hands-on AI/ML research experience through graduate research, publications, thesis work, research internships, or substantial projects
- You are proficient in Python and experienced with modern machine learning frameworks
- You can translate an open-ended problem into testable hypotheses, well-designed experiments, and clearly supported conclusions
- You are curious about new research, comfortable working with ambiguity, and motivated to apply ML to real-world problems
- You communicate technical ideas clearly and enjoy collaborating across research, engineering, and business domains
Nice to have
- Research experience in time-series forecasting, probabilistic forecasting, and time-series foundation models including PFNs
- Experience with generative AI, including large language models, retrieval-augmented generation, and agents
- Knowledge of statistical inference, uncertainty quantification, and causal inference
- Experience evaluating foundation models, including fine-tuning, adaptation, benchmarking, and error analysis
- A record of research communication through publications, preprints, or technical reports
Some technologies you'll use
- Docker for reproducible ML research environments
- Python and scientific computing libraries
- PyTorch and deep learning frameworks for GPU-accelerated training and experimentation
- Experiment tracking, Tensorboard, version control, and cloud-based compute
We’re accepting applications now through end of day on Sunday, October 18, 2026. 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 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:
- Flexible vacation and Kinaxis Days (company-wide days off)
- Flexible work options
- Physical and mental well-being programs
- Regularly scheduled virtual fitness classes
- Mentorship programs, training, and career development
- Recognition programs and referral rewards
- 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.
