About the role#
The AI and Advanced Mathematical Modeling team explores how machine learning advances supply chain planning. As an AI/ML Research Intern, you will investigate research questions in time-series modeling and generative AI. You will work alongside experienced researchers and engineers to evaluate how emerging methods create value in real-world supply chain applications. You will be paired with a dedicated mentor for guidance throughout the term.
What you'll do#
- Conduct applied research in machine learning, focusing on time-series forecasting and generative AI for supply chain planning.
- Review literature, identify methods, and formulate research hypotheses.
- Design and run reproducible experiments using real-world and benchmark datasets.
- Develop and evaluate models against strong baselines using quantitative and qualitative metrics.
- Analyze results, robustness, and practical trade-offs.
- Build research prototypes and communicate findings to technical and non-technical audiences.
- Collaborate with researchers, data scientists, and domain experts.
- Contribute to technical reports, demonstrations, publications, and patent applications.
What you'll need#
- Enrollment in or recent graduation from a master's or PhD program in Computer Science, Statistics, Mathematics, Operations Research, or a related field.
- Strong foundation in machine learning, statistics, and experimental methodology.
- Hands-on research experience through graduate work, publications, or substantial projects.
- Proficiency in Python and modern machine learning frameworks.
- Ability to translate open-ended problems into testable hypotheses.
- Clear communication skills for technical ideas.
Preferred qualifications include research experience in time-series forecasting, generative AI (including LLMs and RAG), statistical inference, uncertainty quantification, and foundation model evaluation.
Location & details#
- Term: Winter 2027 (8 or 12 months, starting January 2027).
- Modality: Hybrid or Remote. Employees in Ottawa or Toronto must work from the office at least three days per week. All candidates must be located in the Eastern time zone.
- Status: Full-time, paid position.
- Eligibility: Open to current students or those who graduated within 12 months of the placement end date.
About Kinaxis
Kinaxis develops software for supply chain management. The company serves clients in sectors including aerospace, automotive, and life sciences. It maintains headquarters in Ottawa and employs over 2,300 people. Its software handles tasks ranging from strategic planning to last-mile delivery.
How to get in at Kinaxis
Applying to Kinaxis early gives you a distinct advantage, as recruiters review applications before the volume becomes unmanageable. Intern Insider sends you an instant alert the moment a new role is published, helping you secure a spot at the front of the queue. You can avoid the frustration of waiting in a digital pile by acting quickly when a position opens. Reaching out to the right person often yields better results than a standard submission. Intern Insider surfaces the recruiters behind Kinaxis roles, allowing you to contact them directly for questions or a referral. This personal outreach often improves your response rate significantly compared to cold applications.
