Senior ML Engineer — Production-Scale Intelligence

Iterable, Inc.; San Francisco (CA); Remote; USD 150,000 - 250,000; Full time

Job summary

Iterable is the AI customer engagement platform powering enterprise-scale experiences with global brands. As a Senior Machine Learning Engineer in the US, you will design and build end-to-end ML systems powering intelligence across our product, managing models from research to production.

You will work with Databricks, Spark, AWS, Ray, and Kubernetes, owning the full model lifecycle, mentoring teammates, and helping shape the AI direction at Iterable.

Qualifications

• 5+ years hands-on MLE experience in production
• Strong Python and/or Scala coding skills
• Proven track record deploying ML models to production
• Experience with Databricks, Spark, and distributed pipelines
• Experience with microservices and containerization (Kubernetes)

Responsibilities

• Build and ship core product ML capabilities
• Own full model lifecycle end-to-end from EDA to deployment
• Build and scale data pipelines and serving architectures (Databricks, Spark, AWS, Ray, Kubernetes)
• Partner with Backend and Platform teams to raise standards and improve data architecture
• Mentor engineers and help set ML direction at Iterable

Skills

MLE in production

Python/Scala

Distributed systems

Model deployment

Latency optimization

Tools

Databricks

Spark

Kubernetes

Ray

Job description

Iterable is the AI customer engagement platform powering enterprise-scale experiences with global brands. As a Senior Machine Learning Engineer in the US, you will design and build end-to-end ML systems powering intelligence across our product, managing models from research to production.

You will work with Databricks, Spark, AWS, Ray, and Kubernetes, owning the full model lifecycle, mentoring teammates, and helping shape the AI direction at Iterable.