Applied AI/ML Scientist

lululemon; Vancouver; On-site; CAD 147,000 - 193,000; Full time

Benefits offered by this job

Extended health and dental

Paid time off

Retirement plan matching

Parenthood top-up

Development courses

Mentorship programs

Leadership series

Job summary

lululemon Athletica Inc. is seeking an Applied AI/ML Scientist to design, develop, and optimize AI/ML solutions that address defined business problems, with a focus on applied modeling, experimentation, and production-ready deployments.

You will work independently to tailor AI/ML approaches, collaborate with product and engineering teams, and improve model performance and reliability across our Enterprise Data & AI initiatives.

Qualifications

• Bachelor’s degree in computer science, machine learning, mathematics, or related field.
• 4–8 years of experience building and optimizing AI/ML solutions, or equivalent research experience (e.g., Master’s/PhD).
• Experience evaluating and applying state-of-the-art AI/ML models and methods to practical use-cases.
• Ability to map business problems to AI/ML solutions and iterate to improve performance.
• Proven ability to handle data transformation, model training, latency constraints, and integration within architecture.

Responsibilities

• Translate business challenges into AI/ML approaches by working with SMEs and stakeholders.
• Design experiments and establish success criteria aligned with business goals.
• Develop AI/ML solutions for complex problems delivering measurable business impact and production-ready models.
• Develop prototypes and conduct rigorous evaluation to analyze model performance and iterate improvements.
• Develop end-to-end AI/ML solutions and partner with engineers to ensure production integration.

Skills

AI/ML mapping

Experiment design

Cross-functional collaboration

Production ML

Education

Bachelor’s degree in CS/ML/math

Master’s degree preferred

Tools

Python

PyTorch

Cloud ML platforms

Open-source toolkits

Job description

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 an Applied AI/ML Scientist, you design, develop, test, and optimize AI/ML solutions that address defined business problems, with an emphasis on applied modeling, experimentation, and translating advanced AI research into scalable, production-ready solutions. You work independently to design and adapt AI/ML approaches to build prototypes, and improve model performance, reliability, and efficiency. You use domain knowledge and collaborate with stakeholders and product teams to map the business problem to the right model and AI/ML solution approach. You own the AI solution implementation and partner with engineering teams to integrate solutions into the broader engineering system. You contribute to solution enhancements, validate outcomes, and continuously improve models based on real world performance.

Examples of projects could be

• 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 that are a mix of structured and unstructured data
• Developing experimentation frameworks and evaluation approaches to measure business impact of AI solutions in production
• Collaborating with product and engineering teams to embed AI models into end to end business workflows

Select responsibilities include:

• Translate business challenges into AI/ML approaches by working with key SMEs and stakeholders to understand problems and map them to the right AI/ML solution approach.
• Design experiments and establish success criteria aligned with business goals
• Develop AI/ML solutions for complex business problems applying advanced techniques to deliver measurable business impact, building production-ready models, and ensuring solutions scale effectively
• Develop prototypes and conduct rigorous experimentation, design evaluation plan to analyze model performance, and iterate to improve accuracy, generalization, interpretability, and business impact
• Develop end-to-end working AI/ML solutions for assigned use cases from data ingestion through inference, and partner with AI/ML engineers and software engineers to ensure seamless integration into production workflows and processes

Qualifications

• Bachelor’s degree in computer science, machine learning, mathematics, or related field, Masters preferred
• 4-8 years of experience building and optimizing AI/ML solutions, or equivalent research experience, including educational experience (e.g., Master's or PhD degree)
• Demonstrated experience in evaluating and applying state-of-the-art AI/ML models and methods to develop practical, high-performing solutions to specific use‑cases.
• Experience designing AI/ML approaches, conducting experiments to evaluate performance, iterating on solution design to improve performance, and translating AI-ML driven insights into business goals
• Proven ability to navigate technical complexity within assigned solutions including data transformation and preparation, model training and fine‑tuning, latency constraints, and integration requirements within established architectural patterns
• Experience with ML implementation using commonly used tools such as Python, pyTorch, cloud ML platforms and libraries, open‑source toolkits.

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

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 teamperformance. Thetypical hiring range for this positionis from $146,830-$192,720 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 our 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 [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, and written submissions. At lululemon is committed to privacy, integrity, transparency and ethical hiring practices. Our commitment to responsible AI ensures that proprietary information is protected and that all  hiring decs …