AI/ML Engineer — Production ML, Onsite 4x/wk

lululemon

Seattle (WA)

Vor Ort

USD 147.000 - 193.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Extended health and dental benefits
Paid time off
Savings and retirement plan matching
Generous employee discount
Fitness & yoga classes
Parenthood top-up
Development course offerings

Zusammenfassung

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

The role emphasizes building reliable pipelines, applying ML Ops standards, and delivering models with strong performance and governance.

Qualifikationen

  • 4–8 years of 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 components with CI/CD, automated testing, and reliability patterns.
  • Experience with independently designing model training strategies including architecture selection and evaluation methodology.
  • 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 across the domain.
  • Experience with common ML tools and frameworks (Python, Spark, Airflow, MLFlow) and cloud ML platforms.

Aufgaben

  • Design and implement end-to-end AI/ML systems across the full model lifecycle.
  • Collaborate with researchers, data scientists, and engineers to translate model innovations into production systems.
  • Contribute to architecture decisions for model training, deployment, and serving infrastructure.
  • Support scalable pipelines and ML Ops practices for reliable production use.

Kenntnisse

Python
CI/CD
Machine Learning
MLOps
Distributed training
Team collaboration

Ausbildung

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

Tools

PyTorch
Horovod
Ray Train
SageMaker
Vertex AI
Azure ML
TorchServe
Triton
BentoML

Jobbeschreibung

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

The role emphasizes building reliable pipelines, applying ML Ops standards, and delivering models with strong performance and governance.

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