Lululemon

Lululemon

lululemon Senior AI/ML Engineer

Greater Vancouver, British Columbia · Senior · full-time

No sponsorship$177k-$232kDetected 35 days ago
PythonMachine LearningSparkAirflowData EngineeringLLMsRAGMLOpsA/B TestingLeadershipCollaborationMentoring

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odds of building a lasting career here

55Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role65
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • That includes creating an equitable, inclusive and growth-focused environment for our people.
  • By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates.
  • The typical hiring range for this position is from $176,760-$232,000 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity.

Responsibilities

  • Define ML engineering standards for model development, evaluation, and deployment; implement reusable training pipeline templates.
  • Design and implement model evaluation systems and tooling including benchmark suites, human evaluation workflows, and online experiment platforms in partnership with applied science teams.
  • Lead architecture and engineering of LLM and GenAI systems including RAG pipelines, fine‑tuning infrastructure, and agentic frameworks.
  • Build and operate distributed training pipelines for advanced ML and GenAI models.
  • Implement scalable model serving architectures for real‑time and batch inference.
  • Developing reusable MLOps components to support experimentation, deployment, monitoring, and rollback.
  • Partner with AI/ML scientists to productionize models while meeting accuracy, performance, reliability, and responsible AI requirements.
  • Demonstrated ability to define software engineering standards for AI/ML systems across the domain including code quality, testing requirements, service design patterns, and API contract guidelines.

Requirements

  • 6‑10 years of experience building and delivering AI/ML solutions into production.
  • Demonstrated ability to define model implementation and training standards including architecture patterns, evaluation criteria, and responsible AI assessment frameworks adopted across the domain.
  • Demonstrated ability to define ML Ops platform standards and reusable deployment templates adopted across the domain.
  • Experience with common ML tools and frameworks and implementation such as Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms.
  • Authorization to work in the United States is required for this role.

Compensation

  • $177k-$232k

Benefits

  • Build and maintain AI observability frameworks covering model performance, data drift, training health metrics, and responsible AI monitoring.
  • Bachelor's or Master's degree in computer science, machine learning, or related technical field; Master's or equivalent experience beneficial.

Company info

  • 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.
  • 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.
  • 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 a Senior AI/ML Engineer, you will lead the delivery of scalable AI/ML solutions to business problems.
  • You will build, deploy, scale and maintain AI/ML solutions.
  • You will apply engineering best practices, implement rigorous evaluation frameworks, and design MLOps and observability standards.
  • You will be the technical authority for ML engineering challenges from setting up model training and fine‑tuning to architectures and system design for serving AI/ML inference solutions in production.
  • You will help drive AI/ML engineering excellence through mentorship, design reviews, and platform investment.
  • In this role, you will own technical delivery and partner with applied scientists, software engineers, and product teams to realize AI capabilities into production.
  • Select responsibilities include
  • Lead delivery of applied AI/ML solutions, including data pipelines, model training and experimentation infrastructure, evaluation systems, production-ready pipelines and APIs, and ML Ops for monitoring models or solutions in production.

Visa & Work Authorization

  • Applicants must be authorized to work for ANY employer in the U
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This listing is sourced directly from Lululemon's careers page and normalized into a canonical job model.