Principal AI/ML Scientist

Responsibilities

• Define and drive enterprise-level AI/ML strategy and solution vision for key business use-cases.
• Lead the research and design of AI/ML approaches for highly complex problems, including generative AI, multimodal systems, and large-scale optimization.
• Translate emerging AI research (e.g., LLMs, foundation models) into enterprise-ready capabilities with measurable business outcomes.
• Act as a strategic advisor to executives on AI opportunities, risks, and long-term capability building.
• Mentor senior technical leaders and foster a culture of technical excellence and innovation.
• Establish enterprise experimentation and validation standards to connect model performance to business ROI.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field (PhD preferred).
• 11–15 years of AI/ML research experience in industry or equivalent academic experience.
• Proven track record of architecting and delivering large-scale, complex AI/ML systems across multiple domains.
• Deep expertise in advanced AI/ML approaches such as Generative AI, NLP, Computer Vision, or Multimodal Learning.
• Expert-level experience with modern ML tools including Python and PyTorch.
• Strong understanding of production AI systems, evaluation frameworks, and responsible AI considerations.

Benefits

• Extended health, dental, and mental health plans.
• Paid time off and parenthood top-up.
• Savings and retirement plan matching.
• Generous employee discount.
• Fitness and yoga classes.
• Extensive catalog of development courses and mentorship programs.

About the Company

lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. We focus on creating transformational products and experiences that support people in moving, growing, connecting, and being well. Our Enterprise Data & AI organization drives growth by building the platforms and services that enable the enterprise to operate with intelligence at scale.