Architect, Machine Learning (Principal Scientist)
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Key skills for this role
About the Role
Kinaxis is seeking a Machine Learning Architect to define and advance next-generation AI-driven capabilities for supply chain orchestration. You will provide technical leadership in applied AI, working across research, product, and engineering to develop novel ML and GenAI solutions.
Key Skills for This Role
Responsibilities
- Define and advance next generation AI driven capabilities for supply chain orchestration
- Provide technical leadership in applied AI across research, product, and engineering boundaries
- Identify promising techniques, develop differentiated approaches, and shape how new ideas evolve into product capabilities
- Work hands on using modern tools and agents to explore ideas and develop early systems
- Mentor others across the organization and foster a culture of rigorous, practical innovation
Requirements
- PhD in Computer Science, Machine Learning, Artificial Intelligence, Operations Research, or related field
- Extensive experience applying machine learning to solve complex real world problems
- Strong hands on experience building prototypes and proof of concepts for new ML/AI methods
- Deep expertise in modern AI techniques (agentic systems, LLMs, RAG, recommendation, optimization, explainability)
- Strong programming ability in Python and experience with modern ML/data tooling
- Experience partnering with engineering and product teams to move ideas toward scalable product capabilities
- Excellent communication skills for engaging technical and non technical stakeholders
Full Job Posting
About Kinaxis
- Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI infused platform.
- The AI team advances machine learning solutions in supply and demand across industries like Retail, CPG, and Life Sciences.
What you will do
- Provide senior technical leadership in applied AI, helping identify promising techniques and develop differentiated approaches.
- Work across research, product, and engineering to apply ML and Generative AI to complex supply chain problems.
- Use modern tools and agents to explore ideas, develop early systems, and guide productization.
- Mentor others and foster a culture of rigorous, practical innovation.
What we are looking for
- PhD in Computer Science, Machine Learning, AI, Operations Research, or related field.
- Extensive experience applying ML to real world problems with a track record of novel approaches.
- Strong hands on experience building prototypes and proof of concepts for new ML/AI methods.
- Deep expertise in agentic systems, LLMs, RAG, recommendation, optimization, explainability.
- Strong programming ability in Python and experience with modern ML/data tooling.
- Excellent communication skills and ability to influence technical direction across teams.
Perks and Benefits
- Flexible vacation and Kinaxis Days (company wide days off)
- Flexible work options
- Physical and mental well being programs
- Mentorship programs, training, and career development
- Recognition programs and referral rewards
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