Job description

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 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. About this team 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 at scale. The 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.  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 investment • Proven track record of architecting and delivering large ‑ scale , complex AI/ML systems across multiple domains with significant organizational impact • Deep expertise in advanced AI/ML approaches, including areas such as generative AI, NLP, computer vision, multimodal learning, or time ‑ series modeling, and ability to translate research into production systems • Strong experience partnering with senior business and technology leaders to align AI initiatives with strategic goals and measurable outcomes • Expert ‑ level experience with modern ML tools and ecosystems (e.g., Python, PyTorch , cloud ML platforms, distributed training/inference systems, and scalable data pipelines) • Strong understanding of production AI systems, evaluation frameworks, and responsible AI considerations 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, aka doesn’t take yourself too seriously. additional notes Please note: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of employment visa at this time for this role. compensation and benefits package lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $266,720 - $350,070   annually ; 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 and equity offerings , subject to program eligibility requirements.   At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. 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 • Paid time off • Savings and retirement plan matching • Generous employee discount • Fitness & yoga classes • Parenthood top-up • Extensive catalog of development course offerings • People networks, mentorship programs, and leadership series (to name a few) Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice. workplace arrangement In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week. #LI-AG2

Requirements

Must-haves

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
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
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 investment
Proven track record of architecting and delivering large ‑ scale , complex AI/ML systems across multiple domains with significant organizational impact
Deep expertise in advanced AI/ML approaches, including areas such as generative AI, NLP, computer vision, multimodal learning, or time ‑ series modeling, and ability to translate research into production systems
Strong experience partnering with senior business and technology leaders to align AI initiatives with strategic goals and measurable outcomes
Expert ‑ level experience with modern ML tools and ecosystems (e.g., Python, PyTorch , cloud ML platforms, distributed training/inference systems, and scalable data pipelines)
Strong understanding of production AI systems, evaluation frameworks, and responsible AI considerations
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.

Nice-to-haves

Bachelor’s degree in computer science, data science, engineering, or related technical field, or equivalent experience; PhD preferred

Application prep

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