Principal AI​/ML Applied Scientist

Business Unit:

Store Support Centre (SSC)

Full-time

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.

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.

The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to operate with intelligence  team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon’s vertically integrated retail ecosystem, while embedding 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.

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.

• 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‑scale ML‑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

• 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

• Bachelor’s degree in computer science, data science,…