Staff AI/ML Applied Scientist

About the role

The Enterprise Data & AI team at lululemon is a strategic and operational driver of growth. They own and build the data and AI platforms and products that enable the enterprise to operate with intelligence at scale. The team designs and delivers a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon’s vertically integrated retail ecosystem, embedding strong data governance and responsible AI practices.

Core responsibilities

• Define, lead, and scale AI/ML solutions aligned to business outcomes.
• Provide technical leadership and direction, design the solution for problems with high system complexity and multiple components.
• Ensure solutions are scalable, reliable, and ethically applied.
• Lead complex initiatives across teams, influence technology decisions, and embed solution-oriented thinking and across AI/ML investments.
• Operate as a technical authority for applied AI/ML methodology and state-of-the-art, setting scientific direction for complex problem domains.

Select responsibilities

• Establish AI/ML solution frameworks for how specific business domains apply AI/ML to business problems, and develop production-ready AI/ML models and solutions that deliver business value.
• Drive the technical design and delivery of AI/ML solutions for complex business problems, applying advanced techniques to deliver measurable business impact, through production-ready models that scale effectively.
• Guide best practices defining how the organization transforms data into intelligent systems through AI/ML, designing AI/ML pipelines in partnership with software engineering teams.
• Establish experimentation standards defining rigorous evaluation approaches, business impact measurement, and validation practices across organization.
• Drive business domain integration ensuring AI/ML solutions are informed by business context, stakeholder needs are met.

Qualifications

• Bachelor’s degree in computer science, mathematics, or related field; Master's or PhD preferred.
• Demonstrated experience in technically leading applied AI/ML solution delivery for high-impact business problems where solution architecture, model choice, evaluation rigor, quality, and trade-off decisions materially affect outcomes.
• Experience designing complex AI/ML solutions with multiple models and components and deploying them to production.
• Experience guiding how the team evaluates and adopts emerging and state-of-the-art methods at scale for specific use-cases.
• Experience establishing domain-wide frameworks for AI/ML solution design and implementation including development standards, evaluation criteria, and responsible AI requirements adopted across teams.
• Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML platforms and libraries, open-source toolkits, and creating reusable ML components.

Must haves

• Acknowledge the presence of choice in every moment and take personal responsibility for your life.
• Possess an entrepreneurial spirit and continuously innovate to achieve great results.
• Communicate with honesty and kindness and create the space for others to do the same.
• Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
• Foster connection by putting people first and building trusting relationships.
• Integrate fun and joy as a way of being and working, akadoesn’ttake yourself too seriously.