Senior Machine Learning Engineer, Nova Intelligence

Sourced from indexventures.getro.com

Iterable is hiring a Senior Machine Learning Engineer to build and own end-to-end ML systems powering Nova Intelligence, the AI layer of its customer engagement platform. You will ship core product ML capabilities such as send-time/frequency optimization, recommendation engines, and campaign personalization at enterprise scale. The role spans the full model lifecycle, from experimentation and feature engineering through production deployment, latency monitoring, and online experimentation.

• Build and ship core product ML capabilities including send-time/frequency optimization, recommendation engines, and campaign personalization
• Own the full model lifecycle: EDA, feature engineering, distributed training, deployment, latency monitoring, and online experimentation
• Build and scale data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes
• Partner with Backend and Platform teams on feature serving, data architecture, and engineering standards
• Mentor engineers and help set the technical direction for ML at Iterable

• 5+ years of hands-on MLE experience putting complex models into production at scale
• Strong Databricks and Spark experience building and optimizing production data pipelines
• Proven track record deploying deep learning and ensemble architectures to production
• Strong Python and/or Scala skills with emphasis on maintainable systems code
• Hands-on experience with microservice backends, distributed compute (Ray/Spark), and containers (Kubernetes)

• Prior work on large-scale recommendation systems
• Experience setting up feature stores or model observability tools
• Exposure to Infrastructure-as-Code (Terraform, Pulumi)