Senior Machine Learning Product Engineer, Communications, Growth Alliance
Core
Build and operate production ML systems for personalized customer communications, including send decisioning, intelligent funnels, and AI-assisted content generation.
Role type
Senior Machine Learning Product Engineer (Communications)
Builds
Production ML systems for email/SMS/push notification decisioning, automated content generation, and asset retrieval.
Domain
Direct-to-consumer food subscription (HelloFresh)
Deliverable
production ML models | product features
Required skills
Python, Spark, Databricks, Go, Kafka, Kubernetes, ML model serving, observability, statistical literacy, AI tooling (Claude Code, Cursor, Copilot)
Preferred skills
Experience with feature stores, CI/CD templates, MLflow, low-latency system design
Technologies
Python, Spark, Databricks, Go, Kafka, Kubernetes, MLflow, Databricks
Responsibilities
Build and maintain core ML repositories and engineering workflows; Architect the Send Decisioning data layer and integrate feature stores; Engineer AI-assisted content and asset retrieval systems; Bridge research and production by deploying experimental models to resilient services; Monitor and improve production systems for data quality, drift, and latency.
Seniority
Senior, hands-on IC