Machine Learning Engineer, Digital Experience
Pure Storage · Santa Clara, California
About this role
**Machine Learning Engineer, Digital Experience** **THE ROLE** As a Machine Learning Engineer on the Digital Experience Insights team, you'll help take machine learning models from prototype to production, building the pipelines, infrastructure, and engineering practices that let models run reliably at scale. You'll also build and validate models yourself when needed, but the core of the role is making sure good models actually make it into production and stay healthy once they're there. **WHAT YOU'LL DO** • **Productionization:** Take models from prototype to production, building reliable, scalable pipelines for training, serving, and inference. • **Data & ML Infrastructure:** Design and maintain data pipelines, feature stores, and workflow orchestration so models have clean, timely, well-tested inputs. • **Monitoring & Reliability:** Build monitoring for model performance, data drift, and pipeline health, and respond when something breaks. • **Model Development:** Build and validate machine learning models and statistical approaches when needed, working closely with the broader data science team on model design. • **Cross-Functional Collaboration:** Work with Data Scientists, Data Engineers, and Software Engineers to turn open-ended business questions into a clear technical plan and a working production system. • In-office role based in Santa Clara, CA **WHAT YOU BRING** • Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, Statistics, or related field (or equivalent practical experience) • 3-5 years of industry experience in data engineering, ML engineering, or hybrid data science/engineering role with production shipping track record • Strong software engineering fundamentals in Python and SQL • Hands-on experience with workflow orchestration tools (Airflow, Dagster, etc.) • Experience in cloud-native environments (AWS, GCP, or Azure) • Working knowledge of ML and statistical modeling (Scikit-Learn, PyTorch, etc.) • Strong communication skills and ability to work through ambiguity **COMPENSATION** $180,000 – $270,000 USD annually Eligible for incentive pay and/or equity **WHAT WE OFFER** • Innovation-focused culture • Growth opportunities and meaningful work • Flexible time off and wellness resources • Fortune's Best Workplaces in Technology™ certified • Inclusive, collaborative team environment
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