Senior Machine Learning Engineer

📋 Description Build and ship core product ML capabilities, including send-time/frequency optimization Own the full model lifecycle end-to-end: EDA, feature engineering, distributed training, production Build and scale our data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Partner with Backend and Platform teams to elevate feature serving, improve data architecture, and Mentor engineers on the team and help set the technical direction for ML at Iterable. 🎯 Requirements 5+ years of hands-on MLE experience putting complex models into production at scale. Databricks & Spark mastery building, optimizing, and scaling production data pipelines. Production-level Model Engineering taking deep learning and ensemble architectures to production. Production Code strong Python and/or Scala with readable, modular systems code. Systems & Infra Experience microservices, distributed compute (Ray/Spark), containers Pragmatism focus on latency, reliability, and customer impact over theory. 🎁 Benefits Competitive salaries & meaningful equity Private Medical Insurance Life/Risk Assurance Meal Allowance: 8.55€ per day Paid Annual Leave (22 days) Global Lifestyle Reimbursement Account