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Added 43 mins ago
K
Architect, Machine Learning (Principal Scientist)
Kinaxis
Ottawa, ON
- Full-time
…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,…
Added 1 hour ago
T
Staff Software Engineer
Twilio
Remote, Canada
- Full-time
- Remote
Platform Thinking: Experience building "internal platforms" that enable other developer teams to move faster.
Added 1 hour ago
P
Transaction Services Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC · Quebec, QC
- Full-time
…originate, create, execute, and realize value from deals. Through data driven insights we help our clients move in the right direction ensuring maximum value for their…
Added 2 hours ago
K
Enterprise Architect, AI Engineering – Security & Compliance
KPMG
Toronto, ON · ON
- Full-time
…platforms for KPMG Canada. The team works across application, data, platform and emerging AI technologies in close collaboration with ITS, Security, Risk, Legal, Global teams and business…
Added 2 hours ago
R
Principal Product Manager, AI Solutions
RBC
Vancouver, BC
- Full-time
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers,…
Added 2 hours ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
Our mission is to provide real-time on-orbit connectivity for critical missions, enabling a new era of data-driven intelligence and innovation. With 33 satellites launched to date, Kepler…
Added 2 hours ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 4 hours ago
M
Senior Manager, Organic Growth
Mistplay
Toronto, ON
- $120,000 to $165,000 CAD / year
- Full-time
Mistplay is seeking a strategic and hands-on Senior Manager of Organic Growth to help build and scale the organic acquisition engine for our fast-growing rewarded gaming platform. This…
Added 4 hours ago
T
Modelling / Forecasting Senior Analyst (Quants)
TD
Toronto, ON · Markham, ON
- Full-time
…(LRM) in Canada and U.S. jurisdictions. The position reports to Senior Manager, Advanced Analytics – Liquidity Risk Management Model…
Added 4 hours ago
AI
Manager, Performance Analytics & Insights
Ainsworth Inc
Mississauga, ON
- Full-time
…driving reporting strategy, analytics governance, Power BI platform standards, roadmap development, and performance measurement frameworks that support business…
Added 6 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 6 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 6 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 7 hours ago
M
AI Business Solutions
Microsoft
Calgary, AB · Edmonton, AB · Vancouver, BC · Winnipeg, MB
- Full-time
…transformation leader, helping organizations prepare their data and tenant for AI, embed Copilot into everyday work, and accelerate measurable business value…
Added 7 hours ago
RB
Senior Manager, ALM Market Risk
Royal Bank of Canada
Toronto, ON
- Full-time
…unique position allows you to add significant value by driving data-informed decisions and implementing innovative solutions that directly impact risk management outcomes. Your insights and…
Added 10 hours ago
HT
Senior Software Engineer (Full Stack)
Hudson Talent Solutions
Toronto, ON
- Full-time
…delivery on Noetica, Thomson Reuters’ AI-powered deal intelligence platform. It is responsible for designing, building, and operating accurate, scalable, and well-architected…
Added 11 hours ago
HT
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
- Full-time
This is a senior technical leadership role focused on building production-grade AI systems, RAG architectures, agent-based workflows, and LLM-powered applications that support legal, tax,…
Added 12 hours ago
W
Senior Manager, Software Development - Clients & Accounts
Wealthsimple
Canada
- Full-time
Clients & Accounts Platform (CAP) owns the core client and account models at the heart of our product - the foundation every other team builds on top of. We build the uncompromising,…
Added 13 hours ago
EI
Software Development Manager
EBlock Inc.
Canada
- $160,000 to $180,000 CAD / year
- Full-time
…reviewing production code, prototyping designs, and improving the platform. The engineers you lead should see you as a peer whose code they review, and vice…
Added 13 hours ago
XI
Senior Engineering Manager - ERP
Xplore Inc
Markham, ON
- Full-time
We are looking for an experienced Senior Engineering Manager to lead and grow a technical team as we embark on a company-wide ERP transformation. This is your opportunity to use cutting…
Added 13 hours ago
A
Sales Development Representative
Ask-AI
Toronto, ON
- Full-time
Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered…
Added 14 hours ago
MA
Sales Development Representative
Mosaic AI
Toronto, ON
- Full-time
Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered…
Added 17 hours ago
DC
Senior Water Resources Engineer
Dillon Consulting Limited
Guelph, ON · Hamilton, ON · Kingston, ON · Kitchener, ON · Oakville, ON · Toronto, ON · Windsor, ON · North York, ON
- Full-time
Dillon's Water Resources team is seeking a Senior Water Resources Engineer to become an integral part of our multidisciplinary group of professionals. This is your chance to dive into…
Added 18 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 18 hours ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…

Kinaxis

Architect, Machine Learning (Principal Scientist)

Ottawa, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 21, 2026
Posting language: English
Posted: Sep 17, 2026

Original 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.

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.

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.

Kinaxis is seeking a Machine Learning Architect to help define and advance our next generation of AI-driven capabilities. As part of the Product R&D organization, you will play a senior technical leadership role in applied AI, helping identify promising techniques, develop differentiated approaches, and shape how new ideas evolve into product capabilities.

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 such as agentic systems, LLMs, RAG, recommendation, optimization, explainability, and broader language-based AI techniques.
Strong technical judgment and the ability to assess new technologies critically, separating durable opportunities from short-term hype.
Demonstrated ability to influence technical direction across teams through expertise, credibility, and collaboration.
Strong programming ability in Python and experience working with modern ML and data tooling.
Experience partnering closely with engineering and product teams to move promising ideas toward scalable product capabilities.
Excellent communication skills, with the ability to engage technical and non-technical stakeholders and bring clarity to complex problems.
A practical, product-minded approach to innovation, with an appreciation for enterprise software quality, maintainability, and customer impact.
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.

Nice to Have

Experience in supply chain, retail, life sciences, planning, or optimization domains.
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 that incorporate feedback, oversight, or interaction into how they adapt and improve.
Track record of developing intellectual property through patents, publications, inventions, or other differentiated technical contributions.
Experience turning ambiguous customer or product problems into research directions, prototypes, and validated solution concepts.
Familiarity with enterprise SaaS products and the considerations involved in bringing 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 recruitmentprograms@kinaxis.com. 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.

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More about this job

Responsibilities

Lead applied AI and machine learning innovation for complex supply chain problems, identifying promising techniques and developing prototypes and early systems. Guide technical decisions and collaborate with product and engineering teams to turn validated ideas into scalable product capabilities, while mentoring colleagues and promoting practical innovation.

Requirements

A PhD in computer science, machine learning, artificial intelligence, operations research, or a related field is required, along with extensive experience applying machine learning to real-world problems and strong Python programming skills. Candidates should have expertise in modern AI methods, experience building prototypes and partnering with product and engineering teams, and the technical judgment and communication skills to guide cross-team decisions and productization.

Skills

Machine Learning
Applied Artificial Intelligence
Generative AI
Agentic Systems
Large Language Models
Retrieval-Augmented Generation
Recommendation Systems
Optimization
Explainability
Python
Prototyping
Technical Leadership
Product Development
Enterprise Software
AI-Generated Code Review
Supply Chain Planning

Benefits

Flexible Vacation
Company-Wide Days Off
Flexible Work Options
Physical and Mental Well-Being Programs
Virtual Fitness Classes
Mentorship Programs
Training and Career Development
Recognition Programs
Referral Rewards
Hackathons

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Applied Artificial Intelligence
Generative AI
Agentic Systems
Large Language Models
Retrieval-Augmented Generation
Recommendation Systems
Optimization
Explainability
Python
Modern Machine Learning Tooling
Data Tooling
Supply Chain Orchestration
Demand Forecasting
Replenishment
Operations Research
Prototyping
Proofs of Concept
Applied Research
Product Innovation
Enterprise SaaS
Scalable Product Capabilities
AI-Generated Code Review
Architecture Consistency
Secure Design
Code Quality
Human Feedback
Probability
Statistics

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