Staff AI/ML Applied Scientist

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 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. 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 Applied AI/ML Scientist, you define, lead, and scale AI/ML solutions aligned to business outcomes. You provide technical leadership and direction, design the solution for problems with high system complexity and multiple components. Your solutions model enterprise standards and lifecycle practices and ensure solutions are scalable, reliable, and ethically applied. You lead complex initiatives across teams, influence technology decisions, and embed solution oriented thinking across AI/ML investments. You operate as a technical authority for applied AI/ML methodology and state of the art, setting scientific direction for complex problem domains.

Example of work includes:

• Designing and deploying machine learning and predictive/generative AI models for demand forecasting, optimization, personalization and search, intelligent automation, and multimodal content creation and enrichment
• Applying NLP, computer vision, multimodal, or time series modeling techniques to enterprise scale data sets that are a mix of structured and unstructured data
• Establishing frameworks for productionizing AI solutions and how AI/ML model performance translates into business decisions
• Acting as a senior technical partner to product, engineering, and business leaders on AI feasibility, risk, and value realization across a multi year roadmap

Select responsibilities include:

• Establish AI/ML solution frameworks for how specific business domains apply AI/ML to business problems, and develop production ready AI/ML models and solutions that deliver business value
• Drive the technical design and delivery of AI/ML solutions for complex business problems, applying advanced techniques to deliver measurable business impact, through production ready models that scale effectively
• Guide best practices defining how the organization transforms data into intelligent systems through AI/ML, designing AI/ML pipelines in partnership with software engineering teams
• Establish experimentation standards defining rigorous evaluation approaches, business impact measurement, and validation practices across organization
• Drive business domain integration ensuring AI/ML solutions are informed by business context, stakeholder needs are met

Qualifications

• Bachelor's degree in computer science, mathematics, or related field; Master's or PhD preferred
• 9-12 years of AI/ML research in industrial/corporate setting, or equivalent research experience, including educational experience (e.g., a PhD degree)
• Demonstrated experience in technically leading applied AI/ML solution delivery for high impact business problems where solution architecture, model choice, evaluation rigor, quality, and trade off decisions materially affect outcomesExperience designing complex AI/ML solutions with multiple models and components and deploying them to productionExperience guiding how the team evaluates and adopts emerging and state of the art methods at scale for specific use casesExperience establishing domain wide frameworks for AI/ML solution design and implementation including development standards, evaluation criteria, and responsible AI requirements adopted across teams.Experience with ML implementation using commonly used tools such as Python, PyTorch, cloud ML platforms and libraries, open source toolkits, and creating reusable ML components

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'ttake 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, 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.

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 . 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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Business Unit: Store Support Centre (SSC)

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Time Type:

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• Designing and deploying machine learning and predictive/generative AI models for demand forecasting, optimization, personalization and search, intelligent automation, and multimodal content creation and enrichment

• Applying NLP, computer vision, multimodal, or time series modeling techniques to enterprise scale data sets that are a mix of structured and unstructured data

• Establishing frameworks for productionizing AI solutions and how AI/ML model performance translates into business decisions

• Acting as a senior technical partner to product, engineering, and business leaders on AI feasibility, risk, and value realization across a multi year roadmap

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Establish AI/ML solution frameworks for how specific business domains apply AI/ML to business problems, and develop production ready AI/ML models and solutions that deliver business value

Work Hours

Full Time