Applied AI/ML Scientist
About the role
The Enterprise Data & AI team at lululemon is a strategic and operational driver of growth. They own and build the data and AI platforms and products that enable the enterprise to operate with intelligence at scale. The team designs and delivers a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon’s vertically integrated retail ecosystem.
Core responsibilities
- 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.
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.
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 $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 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.