AI/ML Engineer — Build Production-Ready Models at Scale

Lululemon Athletica; Washington; On-site; USD 147,000 - 193,000; Full time

Job summary

lululemon is seeking an AI/ML Engineer to design and implement end-to-end ML systems across the full model lifecycle, from data curation to deployment and monitoring. You will work with research scientists, data scientists, and product engineers to translate innovations into scalable production solutions, ensuring governance and responsible AI practices.

The role emphasizes CI/CD automation, model serving, and robust ML Ops standards, with onsite work four days per week in a collaborative

Qualifications

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or related technical field, or equivalent experience.
• 4-8 years AI/ML engineering experience designing and owning end-to-end ML systems including model training, evaluation, and production deployment.
• Proven ability to design and implement production-grade AI/ML application components with CI/CD integration, automated testing, and service reliability patterns.
• Experience designing model training strategies including architecture selection, optimization, and evaluation aligned to business requirements.
• Experience owning full model deployment lifecycle including CI/CD automation, canary releases, A/B testing, and automated rollback.
• Ability to define ML Ops platform standards and reusable deployment templates adopted across the domain.
• Experience with Python, Spark, Airflow, MLFlow, feature stores, cloud ML platforms.

Responsibilities

• Design and implement end-to-end AI/ML systems across the full model lifecycle from data curation to deployment and retraining.
• Apply architectures, training strategies, and optimization techniques for classification, regression, ranking, and retrieval tasks.
• Build and maintain scalable model training pipelines using distributed frameworks and cloud ML platforms.
• Deploy models to production with CI/CD automation, including A/B testing, canary rollouts, and automated rollback.
• Contribute to model serving infrastructure meeting latency, throughput, and cost requirements.

Skills

CI/CD integration

Production deployment

ML system design

Model training strategies

Education

Bachelor's degree in Computer Science, ML, Statistics or related field

Master's degree in ML or AI beneficial

Tools

Python

Spark

Airflow

MLFlow

Feature stores

Cloud ML platforms

Job description

lululemon is seeking an AI/ML Engineer to design and implement end-to-end ML systems across the full model lifecycle, from data curation to deployment and monitoring. You will work with research scientists, data scientists, and product engineers to translate innovations into scalable production solutions, ensuring governance and responsible AI practices.

The role emphasizes CI/CD automation, model serving, and robust ML Ops standards, with onsite work four days per week in a collaborative