Machine Learning Architect – Principal Scientist

This is a fully remote position, open to applicants in Canada.

📋 Description

• Assist in defining and advancing the next generation of AI-driven capabilities.

• Assume a senior technical leadership position in applied AI.

• Identify promising techniques, create unique approaches, and influence the evolution of new ideas into product functionalities.

• Collaborate across research, product, and engineering boundaries to implement machine learning and Generative AI in addressing complex supply chain challenges.

• Provide contributions through technical leadership and hands-on efforts, utilizing modern tools and agents to explore concepts, develop initial systems, and guide the transition to productization.

⛳️ Requirements

• PhD in Computer Science, Machine Learning, Artificial Intelligence, Operations Research, or a related discipline.

• Extensive experience in applying machine learning to tackle complex real-world challenges, with a proven history of developing innovative approaches or adapting emerging techniques in practical environments.

• Strong hands-on experience in building prototypes, proof-of-concept projects, and early systems that showcase the value of new ML and AI methodologies.

• Profound expertise in contemporary AI techniques, with substantial knowledge in areas such as agentic systems, LLMs, RAG, recommendation, optimization, explainability, and broader language-based AI strategies.

• Strong technical judgment with the capability to critically evaluate new technologies, distinguishing between lasting opportunities and fleeting trends.

• Proven ability to influence technical direction across teams through expertise, credibility, and collaborative efforts.

• Proficient programming skills in Python and experience with modern ML and data tools.

• Experience in closely partnering with engineering and product teams to transition promising ideas into scalable product capabilities.

• Excellent communication skills, enabling effective engagement with both technical and non-technical stakeholders, while clarifying complex issues.

• A practical, product-focused perspective on innovation, valuing enterprise software quality, maintainability, and customer impact.

• Capability to identify opportunities for accelerating the SDLC through innovative use of AI or other tools, while maintaining architectural consistency, secure design, and high code-quality standards.

• Ability to rigorously review AI-generated code for correctness, architectural appropriateness, integration risk, and edge case support, coupled with a growth mindset and a preference 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