Senior Machine Learning Engineer, Nova Intelligence

About this role

Build and operate production machine-learning systems that power personalization and optimization across Iterable’s customer engagement platform. Own models end to end, from experimentation and data pipelines through deployment, monitoring, and online testing.

About the company

Iterable is a cross-channel marketing platform for email, push, SMS, and in-app messaging. It helps growth and lifecycle teams orchestrate personalized customer journeys.

Stack

What you'll do

• Build product ML capabilities for send-time and frequency optimization, recommendations, and campaign personalization.
• Own the model lifecycle, including exploration, feature engineering, distributed training, deployment, monitoring, and online experimentation.
• Build and scale data pipelines and model-serving architectures.
• Partner with Backend and Platform teams to improve feature serving and data architecture.
• Mentor engineers and help set technical direction for machine learning.

What we're looking for

• 5+ years of hands-on machine-learning engineering experience deploying complex models at scale.
• Production experience building and optimizing data pipelines with Databricks and Spark.
• Track record taking deep-learning and ensemble models from training through production deployment.
• Strong Python and/or Scala skills, with a focus on maintainable production code.
• Experience with microservice backends, distributed compute, and Kubernetes.
• Pragmatic focus on serving latency, reliability, and measurable customer impact.

Nice to have

• Experience with large-scale recommendation systems.
• Experience with feature stores or model observability tools.
• Infrastructure-as-Code experience, such as Terraform or Pulumi.