Senior AI/ML Engineering Leader — Scale & Impact

Lululemon Athletica

Washington

On-site

USD 214,000 - 281,000

Full time

4 days ago
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Job summary

lululemon is seeking a Senior Manager, AI/ML Engineering to lead a team that designs, builds and operates production-grade AI/ML systems. The role sits in the Enterprise Data & AI organization and focuses on training, deployment, serving, and monitoring AI solutions at scale across the retail ecosystem.

You will set engineering standards, guide architecture decisions, and collaborate with product, data science, and business stakeholders to deliver measurable value.

Qualifications

  • Bachelor's degree in Computer Science, Machine Learning, Mathematics, or related field.
  • Experience building production-grade AI/ML systems.
  • Ability to design scalable AI/ML pipelines and platforms.
  • Experience with training, serving, and monitoring AI models.

Responsibilities

  • Own delivery across AI/ML engineering work from problem framing to production stability.
  • Set technical direction for AI/ML engineering capability area.
  • Contribute hands-on to critical engineering work including AI solution design and model deployment.
  • Establish AI/ML engineering standards for training, data preparation, and orchestration.
  • Build and maintain the production AI infrastructure including CI/CD and monitoring.

Skills

AI/ML engineering
Team leadership
Software architecture
MLOps
Data governance

Education

Bachelor's degree in Computer Science / ML / Math

Tools

CI/CD for ML
MLOps tools
Python
TensorFlow / PyTorch

Job description

lululemon is seeking a Senior Manager, AI/ML Engineering to lead a team that designs, builds and operates production-grade AI/ML systems. The role sits in the Enterprise Data & AI organization and focuses on training, deployment, serving, and monitoring AI solutions at scale across the retail ecosystem.

You will set engineering standards, guide architecture decisions, and collaborate with product, data science, and business stakeholders to deliver measurable value.

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