Senior ML Engineer - Production-Scale Personalization

Iterable, Inc.; Boston (MA); On-site; USD 150,000 - 250,000; Full time

Job summary

Iterable, the AI customer engagement platform, is seeking a Senior Machine Learning Engineer to design and build end-to-end ML systems powering intelligence across our product. We work with thousands of large-scale enterprise customers to enable personalized experiences and optimized campaigns.

You will own the full model lifecycle from research to production, mentor teammates, and help shape Iterable's AI direction.

Qualifications

• 5+ years hands-on MLE experience putting complex models into production at scale.
• Databricks & Spark mastery: Real experience building, optimizing, and scaling production data pipelines.
• Production-level Model Engineering: Proven track record of taking deep learning and ensemble architectures from training through optimization to production deployment.
• Production Code: Strong Python and/or Scala skills with an emphasis on readable, modular, and maintainable systems code.
• Systems & Infra Experience: Hands‑on work with microservice backends, distributed compute (Ray/Spark), and containers (Kubernetes).
• Pragmatism: You care more about serving latency, reliability, and measurable customer impact than novel theoretical architectures.

Responsibilities

• Build and ship core product ML capabilities, including send-time/frequency optimization, recommendation engines, and campaign personalization.
• Own the full model lifecycle end-to-end: EDA, feature engineering, distributed training, production deployment, latency monitoring, and online experimentation.
• Build and scale our data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes.
• Partner with Backend and Platform teams to elevate feature serving, improve overall data architecture, and establish engineering standards across the team.
• Mentor engineers on the team and help set the technical direction for ML at Iterable.

Skills

MLE in production

Databricks

Spark

Python

Scala

Kubernetes

Distributed compute

Model deployment

Tools

Databricks

Spark

AWS

Ray

Kubernetes

Job description

Iterable, the AI customer engagement platform, is seeking a Senior Machine Learning Engineer to design and build end-to-end ML systems powering intelligence across our product. We work with thousands of large-scale enterprise customers to enable personalized experiences and optimized campaigns.

You will own the full model lifecycle from research to production, mentor teammates, and help shape Iterable's AI direction.