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