L
Not Specified Permanent

Bellevue, Washington · USA job

Principal Applied AI/ML Scientist

Lululemon Athletica

Bellevue, Washington

Job description

Overview

In this role, you define enterprise AI/ML solutions that span multiple domains and guide executive decisions. You act as a technical authority to extend AI capabilities into durable business advantage, leading cross-domain initiatives and shaping long-term strategy. You translate cutting-edge AI research into production-ready capabilities and work closely with senior leaders to ensure measurable impact at scale. You will partner across product, technology, and business teams to drive innovation and value for the organization.

Compensation / Benefits
  • Extended health and dental benefits
  • Paid time off
  • Retirement plan matching
  • Generous employee discount
  • Fitness & yoga classes
  • Parental top-up
Responsibilities
  • Define enterprise AI/ML strategy and solution vision aligned with business priorities
  • Lead design of AI/ML approaches for highly complex problems
  • Advance methodologies to accelerate time-to-value and re-use
  • Drive innovation by extending state-of-the-art techniques and researching new approaches
  • Mentor senior technical leaders and foster a culture of excellence
  • Partner with executives to identify high-impact opportunities and define success metrics
  • Establish experimentation and validation standards linking model performance to business outcomes
Key requirements
  • Bachelor's degree in computer science, data science, engineering, or related technical field; PhD preferred
  • 11-15 years of AI/ML research experience in industry or academia
  • Proven ability to define enterprise-level AI/ML solutions and influence executive decisions
  • Track record delivering large-scale AI/ML systems across multiple domains
  • Deep expertise in generative AI, NLP, computer vision, multimodal learning, or time-series modeling
  • Strong experience with Python, PyTorch, cloud ML platforms, distributed training/inference, scalable data pipelines
  • Understanding of production AI systems, evaluation frameworks, and responsible AI considerations
  • stakeholder communication
  • leadership and mentorship
  • strategic thinking
  • Python
  • PyTorch
  • cloud ML platforms

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