Co-op/Intern Developer, Machine Learning

Kinaxis Inc.; California; Hybrid; USD 27,000 - 39,000; Full time

Benefits offered by this job

Flexible vacation

Flexible work options

Well-being programs

Virtual fitness classes

Mentorship and career development

Hackathons

Job summary

Kinaxis is seeking a Co‑op/Intern on the ML team to gain real hands-on experience in machine learning software development. You will contribute to production code, work with a mentor, and help develop new product ideas and demos for executives and potential patents.

You’ll receive training and start making an impact within a few weeks of joining. The role involves writing Python for microservice architectures, contributing to the scalability and security of our AI platform, and participating in

Qualifications

• Pursuing CS/Engineering degree with 2+ years completed.
• Hands-on ML experience from work terms, hackathons, or competitions.
• Comfort with Python, ML concepts, and teamwork in a fast-paced environment.

Responsibilities

• Work as a Co‑op/Intern on the ML team and contribute to production code.
• Collaborate with mentors and cross-functional teams to learn and deliver features.
• Develop new ideas and demos for executives and patent applications.
• Receive training and begin contributing within weeks of joining.

Skills

ML enthusiasm

Teamwork

Learning mindset

Problem solving

Education

2+ years in Computer Science or Engineering

Tools

Python

Docker

Kubernetes

Azure

GitHub Actions

Job description

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

Making new supply chain planning solutions possible with Machine Learning is what our fast‑growing team of developers is all about. We build creative solutions that solve real business problems for our Maestro users without the need for them to become Machine Learning experts.

We are looking for a talented candidate to join our development team for a placement. It’s an opportunity for you to get real hands‑on experience with Machine Learning software development and all the components needed to deploy it into a production system.

Location

If in Ottawa or Toronto, you must be in the office at least three days a week. Other Canadian Locations - Remote

Term Duration

This is a full-time, 4, or 8-month position, starting January 2027. Extensions can typically be made after the internship has been started.

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 - $39.66 hourly 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 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
• Your projects may include development of new product ideas as well as demos to executives and patent applications
• 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
• You will contribute to the continuous improvement of our AI platform, ensuring scalability and security.
• You will participate in agile processes such as sprint planning, huddles, pair programming and retrospectives, collaborating with cross‑functional teams to deliver high‑quality solutions.

What we are looking for

• 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.
• Experience with optimization (linear programming, mixed integer problems, solvers) is an asset
• Experience in statistical inference and related concepts is an asset
• You’ve completed 2+ years in a Computer Science or Engineering program

Some technologies you'll use:

• Python
• Docker
• Kubernetes
• Azure
• GitHub Actions

#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.

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 [e-mail]. 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.