Senior Machine Learning Engineer, Nova Intelligence
- Where you can live
- REMOTE - US
- Working hours
- Overlap with UTC-10 to UTC-5
- Salary
- USD 150,000 to 250,000 per year
- Posted
- November 6, 2026
Summary from the posting
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.
This is a short summary. The full description, requirements and the application form are on Iterable's own career page.