Senior Applied AI/ML Scientist

Lululemon Athletica; Washington (Washington County); Hybrid; USD 177,000 - 232,000; Full time

Benefits offered by this job

Extended health and dental benefits, &

Mental health plans

Paid time off

Savings and retirement plan matching

Parenthood top‑up

Development course offerings

Mentorship programs & leadership

Job summary

lululemon Athletica is seeking a Senior Applied AI/ML Scientist to lead production‑ready AI/ML solutions for complex business challenges. You will translate requirements into scalable models, mentor junior scientists, and collaborate with product, engineering, and business teams to ensure responsible AI with measurable impact.

The role emphasizes end‑to‑end model development, deployment, monitoring, and alignment with strategic objectives, across real‑time and data‑intensive environments.

Qualifications

• 6-10 years of AI/ML research, data science, or computational research experience, or equivalent, including education (e.g., a Master’s)
• Proven track record leading design and implementation of complex AI/ML solutions with multiple models or components
• Experience architecting and deploying AI/ML solutions balancing performance, scalability, reliability, and operational complexity
• Experience implementing ML solutions using Python, PyTorch, cloud ML platforms and libraries, open‑source toolkits, and reusable ML components

Responsibilities

• Design and deploy AI/ML models for demand forecasting, personalization, search, and automation
• Build production‑ready ML pipelines and evaluation methods linked to business outcomes
• Collaborate with product, engineering, and business teams to ensure robust and responsible AI solutions
• Lead complex AI/ML projects and guide junior scientists
• Translate business needs into scalable AI/ML solution designs

Skills

Python

PyTorch

Cloud ML platforms

NLP

Computer Vision

Multimodal ML

ML pipelines

Team collaboration

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field

Master's degree in a related field

Tools

Python

PyTorch

Cloud ML platforms

Open-source toolkits

Job description

Business Unit:

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

As a Senior Applied AI/ML Scientist, you lead the delivery of AI/ML solutions for complex business challenges, translating business requirements into scalable, production-ready models and intelligent systems. You provide hands‑on technical leadership across solution design, experimentation, validation, and deployment; influence technical direction within your problem space; and guide peers and junior scientists. You partner closely with product, engineering, and business teams to ensure solutions are robust, maintainable, responsibly applied, and tied to measurable business outcomes.

Examples of work include:

• 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 datasets spanning structured and unstructured data
• Building production‑ready AI/ML pipelines and evaluation approaches that connect model performance to business decisions and measurable outcomes
• Partnering with product, engineering, and business stakeholders to assess AI feasibility, risks, trade‑offs, and value for complex use cases

Select responsibilities include:

• Develop and lead complex AI/ML solutions for strategic business problems, selecting appropriate methods, developing advanced models, and delivering production‑ready solutions that create significant business value
• Drive production at scale by building robust AI/ML systems for business‑critical use cases, applying strong practices for deployment, monitoring, reliability, and maintainability in partnership with engineering teams
• Translate business requirements into AI/ML solution designs, connecting model capabilities and constraints to business workflows and identifying opportunities to improve or reimagine processes
• Develop reusable AI/ML approaches and components across related use cases; establish rigorous evaluation and business‑impact measurement practices within the team and contribute to broader standards
• Integrate business domain expertise into AI/ML solutions by building strong stakeholder relationships, incorporating business context into technical decisions, and ensuring solutions address strategic objectives

qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field, or equivalent experience
• 6-10 years of AI/ML research, data science, or computational research experience, or equivalent, which includes educational experience (e.g., a Master's degree)
• Demonstrated ability to maintain deep, current expertise across a breadth of AI/ML techniques and evaluate or adapt emerging and state‑of‑the‑art methods to specific business constraints and use‑case requirements
• Proven track record leading the design and implementation of complex AI/ML solutions with multiple models or components, with strong practices for code quality, evaluation rigor, reproducibility, and responsible AI
• Demonstrated experience architecting and deploying AI/ML solutions that balance model performance, scalability, reliability, and operational complexity across real‑time and data‑intensive environments
• Experience implementing ML solutions using commonly used tools such as Python, PyTorch, cloud ML platforms and libraries, open‑source toolkits, and 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, 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 teamperformance. Thetypical hiring range for this positionis from $176,760 - $232,000 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

Hybrid

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 [e-mail]. 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 candidate responses.