Machine Learning​/Operations Research Platform Engineer

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.

Ottawa or Toronto, Canada
- Hybrid

All other Canadian locations
- Remote

ML/OR Platform Engineers at Kinaxis build the infrastructure and software that allows machine-learning models and optimization algorithms to be trained, deployed, scaled, monitored, and used in our Supply Chain applications while also contributing directly to the algorithms themselves. Each one of us plays an important part in accomplishing our work, building our culture, and making a global impact.

Every day, we are empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform Maestro ensures that the products we need – everything from medicine and cars to day-to-day items like toothpaste – make it to market and into our hands when we need them with minimal ecological footprint.

Our customers have terabytes of data that needs to be analyzed for the largest supply chains imaginable.

This is an existing job vacancy

• Investigate novel techniques combining class leading heuristics with optimization and ML
• Translate real world Supply Chain Management use cases into mathematical models
• Lead the design and implementation of mathematical models and ML systems
• Define test strategies and develop comprehensive test plans
• Write unit testing, integration testing, and debugging to ensure robust and error-free software
• Design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools
• Collaborate closely with your agile team members and other stakeholders

• C++/Python for core development
• Commercial mathematical solvers
• GPU Computing
• Maestro’s market leading in-memory data server technology
• Visual Studio, JIRA, Confluence, Git
• Sophisticated internal testing tools to validate correctness and performance
• Virtual and cloud infrastructure for development, support and testing

• MSc or PhD in Computer Science, Machine Learning, Operations Research, Engineering, or related field
• 3+ year of software development experience, track record of delivering commercial software
• Working knowledge of C++,including object-oriented design and design patterns, unit testing
• Experience building and maintaining…