Iterable is hiring a Senior Machine Learning Engineer to design and build end-to-end machine learning systems that power intelligence across its product. The role owns model development and production systems, including personalization, recommendation, data pipelines, model serving, and online experimentation.

Responsibilities:

• Build and ship core product ML capabilities, including send-time/frequency optimization, recommendation engines, and campaign personalization
• Own the full model lifecycle end-to-end: EDA, feature engineering, distributed training, production deployment, latency monitoring, and online experimentation (e.g., multi-armed bandits, ensemble models)
• Build and scale our data pipelines and serving architectures using Databricks, Spark, AWS, Ray, and Kubernetes
• Partner with Backend and Platform teams to elevate feature serving, improve overall data architecture, and establish engineering standards across the team
• Mentor engineers on the team and help set the technical direction for ML at Iterable
• Building, evaluating, and integrating new models that add intelligence into our core product
• Enhancing models that optimize send time and frequency of outgoing message campaigns
• Designing data pipelines that make it easy to implement and test new models
• Working with platform engineers to enhance our feature- and model-serving architecture
• Benchmarking and improving our multi-armed bandit implementation
• Building tools to visualize and debug features and models