实习生AI&ML研究员
Intern AI&ML Researcher
## 实习生 AI&ML 研究员
地点
CA-远程
ID
2026-35465
类别
工程
职位类型
实习
远程
是
关于 Kinaxis
你是否希望加入一家创新、市场领先的公司，真正提升你的职业生涯？在 Kinaxis，我们重视文化，重视技术，重视客户，也重视不把自己太当回事。如果你希望成为一段非凡成长故事的一部分，那么我们可能就是适合你的地方！
1984年，我们由三名工程师组成团队起步。如今，我们已成长为一家全球性企业，在全球拥有超过2000名员工，设有6个全球办公室和位于加拿大渥太华的顶级总部。作为多家全球雇主奖项的获得者，我们自豪地与客户和员工一起，解决当今供应链面临的最大挑战之一。
Kinaxis 是现代供应链协调领域的全球领导者，为复杂的全球供应链提供支持，并帮助管理这些供应链的人。我们强大的、融合人工智能的平台实现了端到端供应链的全面透明度和可见性，使客户能够更快、更明智地做出决策。我们被知名全球品牌所信赖，以提供应对当今波动和中断所需的敏捷性和可预测性。目前，我们的平台在全球100多个国家拥有超过4万名用户，随着我们持续创新和革新对客户的支持方式，我们正在扩大团队。
关于团队
我们的 AI 和高级数学建模团队探索机器学习如何推动供应链规划的发展。我们进行应用研究，并将有前景的想法转化为实用功能，帮助 Maestro 用户解决复杂的业务问题。
我们正在寻找一名硕士或博士学生加入我们的团队担任 AI/ML 研究实习生。你将研究时间序列建模和生成式 AI 等领域的挑战性研究问题，与经验丰富的研究人员和工程师密切合作，并评估新兴方法如何在实际供应链应用中创造价值。
**地点**
你应该位于东部时区。如果在渥太华或多伦多，必须每周至少三天在办公室工作。其他加拿大东部时区地点 – 远程
**实习期限**
这是一份全职、为期8或12个月的职位，从2027年1月开始。
**实习生资格**
该职位面向实习生开放。要符合实习职位的资格要求，需满足以下条件：
查看英文原文
## Intern AI&ML Researcher
Location
CA-Remote
ID
2026-35465
Category
Engineering
Position Type
Intern
Remote
Yes
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
**#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](https://www.kinaxis.com/en) or the company’s blog at [http://blog.kinaxis.com](https://www.kinaxis.com/en/blog).
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 recruitmentprograms@kinaxis.com. 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._
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