Staff AI/ML Engineer

lululemon; Seattle (WA); On-site; USD 212,000 - 278,000; Full time

Benefits offered by this job

Extended health and dental benefits

Paid time off

Retirement plan matching

Employee discount

Job summary

lululemon’s Enterprise Data & AI team drives data platforms and AI solutions at scale, enabling the business to operate intelligently. The senior role defines the AI/ML engineering platform vision, aligns with product and technology, and grows engineering leadership across the organization.

The role partners with enterprise architects, shapes strategy, and leads capability development for responsible AI and production-grade ML systems.

Qualifications

• Lead AI/ML engineering strategy and standards across the organization.
• Set design patterns, testing frameworks, and service architectures for complex AI/ML apps.
• Guide development of GenAI systems, foundation models, and MLOps.
• Mentor senior staff and build organizational capability.
• Collaborate with product, tech, and business teams.

Responsibilities

• Define the technical vision for AI/ML platform spanning model dev, training infra, serving, governance.
• Address large-scale training instability and serving reliability at massive scale.
• Establish standards for experiment reproducibility and model evaluation.
• Advise on architecture decisions and long-term engineering implications.
• Lead design reviews and mentor engineers across the domain.

Skills

AI/ML leadership

Strategy development

Mentoring engineers

Stakeholder collaboration

Communication

Education

Bachelor's or Master's in CS/ML or related

PhD preferred

Tools

Python

Spark

Airflow

MLFlow

Feature stores

Cloud ML platforms

Job description

Requirements

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 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 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

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 decisionsprovidingexpert guidance on feasibility, trade-offs, and long-term engineering implications
• Lead technical design reviewsprovidingexpert 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 andestablishingstandards 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 ofhighly complexmodels 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 recordmentoring 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 achievegreat 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’ttake 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 teamperformance. Thetypical hiring range for this position is from $211,880 - $278,090 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.