Machine Learning/Operations Research Platform Engineer

Kinaxis

Quebec

Hybrid

CAD 110,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Flexible vacation

Flexible work options

Well-being programs

Virtual fitness classes

Mentorship & training

Recognition programs

Hackathons

Job summary

Kinaxis seeks an experienced ML/OR Platform Engineer to help build the infrastructure and software that trains, deploys, and scales ML models and optimization algorithms for our supply chain applications. You will contribute to the algorithms themselves and collaborate to deliver global impact.

Based in Ottawa or Toronto (hybrid; other Canadian locations are remote), you will work with a cross-functional team to translate real-world supply chain use cases into mathematical models, design robust

Qualifications

MSc or PhD in Computer Science, Machine Learning, Operations Research, Engineering, or related field.
3+ years of software development experience delivering commercial software.
Working knowledge of C++, including OO design, patterns, and unit testing.
Experience building distributed services and frameworks in C++ and Python.
Experience deploying ML or optimization workloads in cloud or containerized environments.

Responsibilities

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 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.

Skills

C++

Python

Distributed systems

ML/Optimization

Unit testing

GPU computing

Visual Studio

JIRA

Confluence

Git

Cloud/containers

Education

MSc or PhD in Computer Science / ML / OR / Engineering

Tools

Visual Studio

JIRA

Confluence

Git

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, technology, customers, and not taking ourselves too seriously. If you want 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 a global organization with over 2,000 employees around the world, six global offices and a best‑in‑class headquarters in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees to solve 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 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.

Location

Ottawa or Toronto, Canada – Hybrid. All other Canadian locations – Remote.

About The Team

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, our customers and for generations to come.

What You Will Do

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

Technologies We Use

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

What We Are Looking For

MSc or PhD in Computer Science, Machine Learning, Operations Research, Engineering, or related field
3+ years of software development experience, track record of delivering commercial software
Working knowledge of C++, including object‑oriented design, design patterns, and unit testing
Experience building and maintaining distributed services and frameworks in C++ and Python
Experience deploying and operating ML or optimization workloads in cloud or containerized environments
A love of data structures and algorithms, and the desire to apply them in the real world
Working knowledge of mathematical optimization and mixed‑integer programming concepts
Familiarity with commercial optimization solvers (Gurobi, Xpress, CPLEX) and their application in production systems
Ability to design, develop, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools
Ability to find opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and code‑quality standards
Ability to review AI‑generated code rigorously for correctness, architectural fit, integration risk, and edge case support with a growth mindset and bias for experimentation
Familiarity with GPU‑accelerated computing frameworks, distributed optimization systems, or high‑performance computing environments is highly desirable

Nice‑to‑Have

Knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, Capacity Planning)
Experience with GPU computing, NVIDIA CUDA, cuOpt, PDLP, or large‑scale optimization systems
Experience with MLOps, model lifecycle management, training pipelines, and inference services

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.

Perks and Benefits