ABOUT THE TEAM

Kinaxis is looking for a talented candidate to work within the Machine Learning R&D team. The team is responsible for applying machine learning algorithms to develop intelligent supply chains. The uniqueness of the team is that it performs at the intersection of technology and real business problems. You will contribute to the product that delights customers world-wide!

TO BE ELIGIBLE FOR A CO-OP OR 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.

About the role:

#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 Ford, Unilever, Yamaha, P&G, Lockheed-Martin, 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 net-zero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.

People matter at Kinaxis and these are some of the perks and benefits we created for our team:

• Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs and training and career development
• Recognition programs and referral rewards
• Hackathons

For more information, visit the Kinaxis web site 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 recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.
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.

• As an intern ML developer, you are passionate about shipping large-scale software systems in a fast-paced environment but can balance longer term issues such as maintainability, scalability and quality. 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 have a strong interest in developing & integrating ML software end to end, troubleshooting, debugging problems, building and setting up new development tools and infrastructure, excited about finding ways to automate and improve development and release processes.
• You have a passion for software reliability and know how to ensure user needs are met through cross-functional stakeholder understanding and engagement. You enjoy understanding 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.
• You have a strong interest in resolving issues as well as designing effective methods for troubleshooting, preventing, and debugging problems in ML software systems, getting to the root cause of issues, meeting the users’ needs and influencing the product development roadmap. You are excited about finding ways to develop product capabilities and tools that increase robustness of the user experience, reduce the cost of troubleshooting, or reduce the time required to address issues.
• You’re fluent in Python & SQL, have experience working with distributed computing, cloud technologies, big data frameworks and are very knowledgeable about Kubernetes and Docker. You also have experience working with and building Machine Learning pipelines and models. You have the ability and enthusiasm to learn new technologies whether they are infrastructure or language or platform, and easily adapt to change.