Business Unit: Store Support Centre (SSC) Time Type: Full-time Description & Requirements Who we are 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 cutting-edge product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. About this team The Enterprise Data & AIorganizationis a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms andservicesthat enable the enterprise tooperatewith intelligence at scale. The team leads the design and delivery of a trusted unified data foundation,AI-drivendataanalyticsand insights, and AI solutions across lululemon’s vertically integrated retail ecosystem,whileembedding strong 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. Core responsibilities As a Principal Applied AI/ML Scientist, you define and drive the solutions for enterprise ‑ level AI/ML use-cases, influencing multiple solutions across one or more business domains.



You create business impact by extending the state of the art to invent new AI solutions. You operate as a top technical authority and thought leader, shaping how AI/ML becomes a durable competitive advantage across business lines. You lead the most complex, cross ‑ domain initiatives, establish retail industry ‑ leading methodologies, and influence long ‑ term solution approaches across the AI portfolio. You guide senior leaders on where and

how to apply
AI, ensuring solutions deliver sustained, measurable impact at scale. Your work may span the full retail value chain, including product and merchandising, planning and forecasting, supply chain and logistics, and broader enterprise operations. You apply advanced AI/ML techniques to complex problems such as demand and inventory optimization, allocation and assortment, operational decision-making, and other large-scale optimization and predictive modeling challenges. Examples of work include
- Designing and inventing AI solutions across domains such as product design and innovation, planning and forecasting, agentic personalization and search, and multimodal content generation and enrichment
- Defining next ‑ generation models and architectures for generative AI, multimodal systems, and large ‑ scaleML-based optimization, leading to production
- Translating emerging AI research (e.g., LLMs, multimodal learning, foundation models)



into enterprise ‑ ready capabilities with measurable business outcomes
- Acting as a strategic advisor to executives on AI opportunities, risks, trade ‑ offs, and long ‑ term capability building Select Responsibilities include
- Define enterprise AI/ML strategy and solution vision for key use-cases, aligning investments to business priorities and shaping AI as a core organizational capability and competitive differentiator
- Lead research and design of AI/ML approaches for highly complex business problems
- Advance AI/ML methodologies and solution frameworks that accelerate time ‑ to ‑ value, improve scalability and re‑use, and enable repeatable success across teams
- Drive innovation by extending state ‑ of ‑ the ‑ art techniques, conducting original research, and inventing novel approaches that extend organizational capability
- Influence and mentor senior technical leaders, elevating organizational capability in applied AI/ML and fostering a culture of technical excellence and innovation
- Partner with executive stakeholders to identify high ‑ impact opportunities, define success metrics, and ensure AI/ML investments deliver measurable business value and ROI
- Establish enterprise experimentation and validation standards that connect model performance to business outcomes and strategic decision ‑ making Qualifications
- Bachelor’s degree in computer science, data science, engineering, or related technical field, or equivalent experience; PhD preferred
- 11–15 years of AI/ML research experience in industry or equivalent academic experience
- Demonstrated ability to define enterprise ‑ level AI/ML solutions for previously unsolved problems, and influence executive decision ‑ making on technology direction and inves

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