lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in.

The Enterprise

Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise tooperatewith intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon’s vertically integrated retail ecosystem, embedding solid data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates.

Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency. As a Staff Applied AI/ML Scientist, you define, lead, and scale AI/ML solutions aligned to business outcomes. You provide technical leadership and direction, design the solution for problems with high system complexity and multiple components.

You lead complex initiatives across teams, influence technology decisions, and embed solution ‑ oriented thinking and across AI/ML investments. You operate as a technical authority for applied AI/ML methodology and state-of-the-art, setting scientific direction for complex problem domains. Designing and deploying machine learning and predictive/generative AI models for demand forecasting,



optimization, personalization and search, intelligent automation, and multimodal content creation and enrichment Applying NLP, computer vision, multimodal, or time ‑ series modeling techniques to enterprise-scale data sets that are a mix of structured and unstructured data Establishing frameworks for productionizing AI solutions and how AI/ML model performance translates into business decisions.

Acting as a senior technical partner to product, engineering, and business leaders on AI feasibility, risk, and value realization across a multi-year roadmap 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 Drive business domain integration ensuring AI/ML solutions are informed by business context, stakeholder needs are met Bachelor’s degree in computer science, mathematics, or related field; Master's or PhD preferred ~9-12 years of AI/ML research in industrial/corporate setting, or equivale research experience, including educational experience (e.g., a PhD degree)



~ 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 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 Acknowledge the presence of choice in every moment and take personal responsibility for your life. Foster connection by putting people first and building trusting relationships. lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.

Recognizing Our Teams For Their Performance

And Dedication, Other Components Of Our Total Rewards Offerings Include Support Of Career Development, Wellbeing, And Personal Growth Extended health and dental benefits, and mental health plans Savings and retirement plan matching People networks, mentorship programs, and leadership series (to name a few) The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

📌 Staff Applied AI/ML Scientist (Vancouver)
🏢 Lululemon
📍 Vancouver