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 & 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 to operate with 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 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 Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability challenges. You will set domain standards for ML experimentation practices, model evaluation, responsible AI deployment, and GenAI system architecture, operating as the highest individual contributor in the AI/ML engineering discipline and influencing technical direction at an organizational level. In this role, you will shape AI product strategy through deep technical expertise, develop the next generation of senior ML engineering leaders, and serve as a recognized authority both internally and in the broader AI/ML community. You will set the bar for technical innovation, responsible AI, and engineering excellence across multiple teams.

Select responsibilities include:

Define the technical vision and strategy for AI/ML engineering platform spanning model development, training infrastructure, serving, evaluation, and governance

Solve complex AI/ML engineering challenges including large-scale training instability, serving reliability at massive scale, and novel model quality problems with no established playbook

Establish AI/ML engineering standards for experiment reproducibility, model evaluation rigor, responsible AI practices, and production reliability adopted across all teams

Drive capability in frontier AI/ML techniques including large-scale foundation model training, advanced fine-tuning methods, and next-generation GenAI system design
Consult with applied science leaders and enterprise architects on AI system architecture decisions providing expert guidance on feasibility, trade-offs,



and long-term engineering implications

Lead technical design reviews providing expert guidance on ML system architecture, training strategy, and platform evolution

Mentor senior and staff engineers across the domain developing AI/ML engineering leaders and building organizational capability

Qualifications

Bachelor's or Master's degree in Computer Science , Machine Learning, or related technical field, or equivalent experience; advanced degree ( Master's or PhD) preferred

9-12 years of AI/ML engineering experience defining AI/ML engineering strategy and establishing standards across the organization, or equivalent, which includes educational experience (e.g., PhD degree)

Demonstrated ability to set software engineering standards for complex AI/ML application development including design patterns, testing frameworks, and service architecture adopted across all AI/ML engineering teams

Demonstrated ability to set strategy for design and implementation of highly complex models with multiple AI/ML components, training infrastructure, and evaluation rigor at enterprise scale

Demonstrated ability to set MLOps strategy including CI/CD standards, serving platform architecture, and deployment practices

Demonstrated ability to set GenAI engineering strategy including foundation model selection, fine-tuning infrastructure, and responsible AI standards

Track record mentoring senior and staff engineers; define the mentorship and technical development strategy for the AI/ML engineering domain

Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow , feature stores, cloud ML platforms

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’t take yourself too seriously.

additional notes
Authorization to work in Canada is required 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 $200,080-$262,610 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

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-AK1

Only those applicants under consideration will be contacted. Please accept our utmost appreciation for your interest. Lululemon is an Equal Employment Opportunity employer. Employment decisions are based on merit and business needs, and not on race, color, creed, age, sex, gender, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state or provincial and local laws and ordinances. Reasonable accommodation is available for qualified individuals with disabilities, upon request. This Equal Employment Opportunity policy applies to all practices relating to recruitment and hiring, compensation, benefits, discipline, transfer, termination and all other terms and conditions of employment. While management is primarily responsible for seeing that Lululemon equal employment opportunity policies are implemented, you share in the responsibility for assuring that, by your personal actions, the policies are effective.

lululemon is committed to providing reasonable accommodation to applicants with disabilities. If you would like someone from our team to contact you for individualized support, email us at [email protected] . In your email, please include the position title, the location of the position and the nature of your request.

The use of AI tools, including but not limited to ChatGPT, Microsoft Copilot, Gemini, DeepSeek, or any other AI-assisted software, is strictly prohibited during the interview process. This includes, AI-generated responses, content creation, or any form of automated assistance in live interviews, case studies, technical assessments, or written submissions.

At lululemon, we are committed to privacy, integrity, transparency, and ethical hiring practices. Our commitment to responsible AI ensures that proprietary information is protected and that all hiring decisions are based on an individual’s own skills, judgment, and expertise without AI assistance. Any use of AI during the interview process will result in immediate disqualification. lululemon reserves the right to use AI detection tools to verify the authenticity of candidate responses.

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📌 Staff AI/ML Engineer (British Columbia)
🏢 lululemon athletica
📍 British Columbia