Senior ML Engineer — Production AI & Personalization

Iterable, Inc.; United States; À distance; USD 150 000 - 210 000; Plein temps

Résumé du poste

Iterable is hiring a Senior Machine Learning Engineer in the United States to design and build end-to-end ML systems powering our marketing platform. You will lead production ML work for personalization, campaign optimization, and recommendations, with autonomy from research to production rollout.

You will own data pipelines, feature serving, and model monitoring, collaborating with Backend teams to raise engineering standards. If you thrive on scalable ML at production scale, apply now.

Qualifications

• 5+ years of hands-on MLE experience in production.
• Databricks & Spark mastery for production data pipelines.
• Proven track record from training to deployment of ML models.
• Strong Python and/or Scala coding for maintainable systems.
• Experience with microservice backends, distributed compute, and containers.

Responsabilités

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

Connaissances

MLE Experience

Databricks & Spark

Model Engineering

Python/Scala

Distributed Systems

Latency & Reliability

Outils

Databricks

Spark

AWS

Ray

Kubernetes

Description du poste

Iterable is hiring a Senior Machine Learning Engineer in the United States to design and build end-to-end ML systems powering our marketing platform. You will lead production ML work for personalization, campaign optimization, and recommendations, with autonomy from research to production rollout.

You will own data pipelines, feature serving, and model monitoring, collaborating with Backend teams to raise engineering standards. If you thrive on scalable ML at production scale, apply now.