Senior ML Engineer - Production-Scale Personalization

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

Job summary

Iterable is the AI customer engagement platform trusted by global brands. We are seeking a Senior Machine Learning Engineer to design and build end-to-end ML systems powering intelligence across our product.

You will work on large-scale, diverse enterprise workloads with autonomy from research to production. Join a growth-minded team that mentors engineers, shapes ML direction, and delivers personalized experiences at scale.

Qualifications

• 5+ years of hands-on MLE experience delivering production models.
• Databricks & Spark mastery with production data pipelines.
• Experience taking deep learning and ensembles from training to production.
• Strong Python and/or Scala coding for scalable systems.
• Distributed compute (Ray/Spark) and containers (Kubernetes).

Responsibilities

• Build and ship core product ML capabilities (personalization, recommendations).
• Own end-to-end model lifecycle: EDA, feature engineering, training, deployment, monitoring.
• Design and scale data pipelines and serving architectures (Databricks, Spark, AWS, Ray, Kubernetes).
• Collaborate with Backend and Platform teams to improve feature serving and data architecture.
• Mentor engineers and help set ML direction at Iterable.

Skills

5+ years MLE experience

Databricks

Spark

Python/Scala

Ray

Kubernetes

Tools

Databricks

Spark

Kubernetes

Ray

AWS

Job description

Iterable is the AI customer engagement platform trusted by global brands. We are seeking a Senior Machine Learning Engineer to design and build end-to-end ML systems powering intelligence across our product.

You will work on large-scale, diverse enterprise workloads with autonomy from research to production. Join a growth-minded team that mentors engineers, shapes ML direction, and delivers personalized experiences at scale.