Senior ML Engineer - Production-Scale Personalization

Iterable, Inc.; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Iterable, Inc. is seeking a Senior Machine Learning Engineer to design and build end-to-end ML systems powering intelligence across our product for thousands of enterprise customers.

You will own data pipelines, feature engineering, and production deployments, collaborating with backend and platform teams to elevate serving and model performance. You will mentor engineers, shape the technical direction for ML at Iterable, and deliver scalable, low-latency models–from research through production,

Qualifications

• 5+ years of hands-on MLE experience, deploying models to production at scale.
• Databricks & Spark mastery for production data pipelines.
• Production-level model engineering from training to deployment.
• Strong Python and/or Scala code with readable, modular systems.
• Experience with microservice backends, distributed compute (Ray/Spark), and containers (Kubernetes).
• Pragmatic focus on latency, reliability, and customer impact.

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 (e.g., multi-armed bandits, ensemble models).
• 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 experience

Databricks & Spark

Model engineering

Python/Scala

Distributed systems

Latency focus

Tools

Databricks

Spark

Ray

Kubernetes

Terraform

Pulumi

Job description

Iterable, Inc. is seeking a Senior Machine Learning Engineer to design and build end-to-end ML systems powering intelligence across our product for thousands of enterprise customers.

You will own data pipelines, feature engineering, and production deployments, collaborating with backend and platform teams to elevate serving and model performance. You will mentor engineers, shape the technical direction for ML at Iterable, and deliver scalable, low-latency models–from research through production,