Senior ML Engineer - Production-Scale Personalization

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

Job summary

Iterable is seeking a Senior Machine Learning Engineer to design and ship end-to-end ML systems powering intelligence across our product for large enterprise customers. You will own model lifecycle from data exploration to production deployment, with ability to optimize latency and scale.

You will work with Databricks, Spark, AWS, Ray and Kubernetes, mentor engineers, and partner with backend teams to raise serving standards.

Qualifications

• 5+ years of hands-on MLE production experience.
• Strong Python and/or Scala coding skills.
• Experience with distributed data pipelines and model deployment.

Responsibilities

• Build and ship core product ML capabilities, including optimization and personalization.
• Own the full model lifecycle end-to-end: EDA, feature engineering, training, deployment.
• Scale data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes.
• Collaborate with Backend and Platform teams to raise serving standards.
• Mentor engineers and help set technical direction for ML at Iterable.

Skills

MLE production

Databricks

Spark

Python

Scala

Distributed systems

Kubernetes

Latency optimization

Model evaluation

Tools

Databricks

Spark

Ray

Kubernetes

Job description

Iterable is seeking a Senior Machine Learning Engineer to design and ship end-to-end ML systems powering intelligence across our product for large enterprise customers. You will own model lifecycle from data exploration to production deployment, with ability to optimize latency and scale.

You will work with Databricks, Spark, AWS, Ray and Kubernetes, mentor engineers, and partner with backend teams to raise serving standards.