Staff Machine Learning Developer

Job Responsibility: About Kinaxis:

About Kinaxis

Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech, but it's really our people who give us passion to always seek ways to do things better. As such, we're serious about your career growth and professional development, because People matter at Kinaxis. 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, with a brand-new HQ based in Kanata North in Ottawa. As one of Canada's Top Employers, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today. At Kinaxis, we power the world's supply chains to help preserve the planet's resources and enrich the human experience. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries, 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: Location Ottawa, Ontario, CA - Hybrid

About the team

Kinaxis is seeking a talented and passionate Machine Learning Staff Developer to join our cutting-edge research and development team. As a Staff Developer in the Product R&D team, you will work with our Head AI Scientist at the forefront of shaping the future of artificial intelligence. Your work will directly impact our enterprise-grade AI software platform and solutions, which are used by hundreds of customers worldwide to manage their supply chains.

About the role:

What you will do

• Define, drive, design, and build end-to-end machine learning solutions that not only solve real customer problems but also create automated ML-based solutions specifically tailored for forecasting, optimizing, and managing our customers' supply chains
• Innovate by trying new approaches, learning new technologies, and actively researching and exploring state-of-the-art and innovative machine learning methods
• Contribute to the scientific vision and AI/ML strategy for scalable, auditable, and maintainable enterprise production AI solution software
• Contribute to the end-to-end AI software development lifecycle, ensuring reproducible research and state of the art results for our customers
• Work with members of our AI Lab academic partners on research projects

What we are looking for

Ideal candidates will have a track record of scientific leadership and technical strength. Successful candidates must be passionate about inventing and delivering customer-focused solutions to ambitious and ambiguous challenges.

• A Masters or PhD (preferred) in computer science/AI or a related field.
• 5+ years of hands-on experience delivering production machine learning solutions for complex business problems
• Experience with cloud-based data processing, machine learning services, tools, and professional software development of large-scale distributed systems.
• Proficiency in Python with at least 5 years of experience
• Familiarity with distributed computing frameworks
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences
• Ability to explore and design models, systems and solutions taking into account real-world constraints and user experience, and implement them via production-grade code that is systematically evaluated, well-tested and easy to maintain

What would make you stand out:

• Publication track record in tier 1 or tier 2 machine learning conferences and/or journals.
• Strong mathematical background in linear algebra, probability and statistics, calculus, and optimization.
• Solid background in Machine Learning fundamentals, statistical methods for ML, Bayesian methods, parametric and non-parametric methods, variational inference, generative models, stochastic processes, model explainability, etc.
• Familiarity with Deep Learning techniques such as network architectures, transformers, embeddings, regularizations, optimization strategies, transfer learning, distillation, etc.
• Familiarity with PyTorch, TensorFlow, JAX or similar frameworks.
• Strong knowledge of NLP, Large Language Models (LLM), RAG, fine-tuning and LLM model development and evaluation.
• Familiarity with the latest open-source libraries, tools, and frameworks in AI and GenAI, such as LangChain, agents, vector databases, etc.

#Senior # LI-DN1 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 Lockheed Martin, Yamaha, P&G, Honda, 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 or the company's blog at Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at View email address on ca.edajobs.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.