Architect, Machine Learning (Principal Scientist)

Kibbi Technologies Inc.; Halifax; Hybrid; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Flexible vacation

Flexible work options

Well-being programs

Virtual fitness classes

Mentorship and career development

Recognition programs

Job summary

Kinaxis is seeking an experienced Machine Learning Architect to drive applied AI across supply chain challenges. You will work with research, product, and engineering teams, applying ML and Generative AI to create practical, enterprise-grade solutions.

You will lead technical decisions, mentor others, and stay ahead of evolving AI technologies while delivering measurable customer impact in a fast-growing environment.

Qualifications

• PhD in Computer Science, ML, AI, OR Operations Research or related field.
• Extensive experience applying ML to real-world problems with novel approaches.
• Strong prototyping, proof-of-concept, and early-system development skills.

Responsibilities

• Apply ML and Generative AI to complex supply chain problems across domains.
• Provide technical leadership while remaining hands-on in applied research.
• Influence technical direction and translate ideas into scalable product capabilities.

Skills

PhD in CS/ML

AI leadership

Python programming

Cross-functional collaboration

Communication

Education

PhD in Computer Science, ML, AI, OR

Tools

Python

ML frameworks (TensorFlow/PyTorch)

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.

Location

Ottawa and Toronto, CA - Hybrid Other Canadian and USA locations - Remote

About The Team

The AI team is responsible for advancing machine learning solutions in the supply and demand space across industries such as Retail, Consumer Packaged Goods, and Life Sciences. Our work spans forecasting, optimization, replenishment, recommendation, explainability, and emerging AI techniques that help customers solve complex, real-world planning challenges.

What makes this team unique is that we operate at the intersection of applied research, product innovation, and customer impact. We explore new methods, develop novel approaches, and turn them into practical capabilities that can shape the future of the Kinaxis platform. This is a team for people who want to work on meaningful problems, push the boundaries of applied AI in real business settings, and see their ideas influence products used by customers around the world.

Machine Learning Architect

I n this role, you will work across research, product, and engineering boundaries to apply machine learning and Generative AI to complex supply chain problems. You will contribute through technical leadership and hands-on work, using modern tools and agents to explore ideas, develop early systems, and help guide what should move toward productization.

Vacancy Status

This is an existing job vacancy

What you will do

You bring deep expertise in machine learning and applied AI, and you are energized by turning emerging techniques into practical solutions for real customer problems. You are comfortable working through ambiguity, exploring new approaches, and building early systems that demonstrate clear value.

You bring broad technical leadership across teams while remaining hands-on in applied research and innovation. You stay closely attuned to the rapidly evolving AI landscape, actively exploring and experimenting with emerging techniques, tools, and approaches to identify where they can create real product value. You have a knack for spotting high- leverage opportunities, cutting through complexity, and turning novel ideas into practical advances. You guide major technical decisions, identify opportunities for differentiation, and help translate new ideas into future product capabilities.

You will work closely with product and engineering teams to ensure ideas are grounded in real-world constraints and can evolve into enterprise-grade software. You balance innovation with pragmatism and bring a strong focus on customer impact.

You will also mentor others across the organization and help foster a culture of rigorous, practical innovation.

What we are looking for

• PhD in Computer Science, Machine Learning, Artificial Intelligence,Operations Research, or a related field.
• Extensive experience applying machine learning to solve complex real-world problems, with a track record of developing novel approaches or adapting emerging techniques in practical settings.
• Strong hands-on experience building prototypes, proof-of-concepts, and early systems that demonstrate the value of new ML and AI methods.
• Deep expertise in modern AI techniques, with strong familiarity in areas suchas agentic systems, LLMs, RAG, recommendation, optimization, explainability,and broader language-based AI techniques.
• Strong technical judgment and the ability to assess new technologiescritically, separating durable opportunities from short-term hype.
• Demonstrated ability to influence technical direction across teams throughexpertise, credibility, and collaboration.
• Strong programming ability in Python and experience working with modern MLand data tooling.
• Experience partnering closely with engineering and product teams to movepromising ideas toward scalable product capabilities.
• Excellent communication skills, with the ability to engage technical andnon-technical stakeholders and bring clarity to complex problems.
• A practical, product-minded approach to innovation, with an appreciation forenterprise software quality, maintainability, and customer impact.
• Ability to find opportunities to accelerate the SDLC through innovativeapplication of AI or other tooling, while upholding architecture consistency,secure design, and code-quality standards.
• Ability to review AI-generated code rigorously for correctness, architecturalfit, integration risk, and edge case support with a growth mindset and biasfor experimentation.

Nice to Have

• Experience in supply chain, retail, life sciences, planning, or optimizationdomains.
• Strong mathematical foundation in areas such as probability, statistics,linear algebra, optimization, or stochastic methods.
• Experience with learning from human feedback and designing AI systems thatincorporate feedback, oversight, or interaction into how they adapt andimprove.
• Track record of developing intellectual property through patents, publications,inventions, or other differentiated technical contributions.
• Experience turning ambiguous customer or product problems into researchdirections, prototypes, and validated solution concepts.
• Familiarity with enterprise SaaS products and the considerations involved inbringing AI capabilities into production environments at scale.

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 .

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 [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.