Machine Learning Architect – Principal Scientist

🕒 July 23

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

🧬 Research Scientist

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kinaxis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $33M Venture Round on 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.

📋 Description

• Help define and advance next generation of AI-driven capabilities. • Play a senior technical leadership role in applied AI. • Identify promising techniques, develop differentiated approaches, and shape how new ideas evolve into product capabilities. • Work across research, product, and engineering boundaries to apply machine learning and Generative AI to complex supply chain problems. • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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