Senior Machine Learning Engineer
Core
Design, build, deploy, and monitor production ML systems and pipelines for audience data segmentation and retailer affinity across Flipp and Shopfully.
Role type
Senior IC machine learning engineer (audience platform)
Builds
Production ML models, scalable feature engineering pipelines, and audience data infrastructure for 400 million households and 1,000+ retailers.
Domain
Ad-tech / Programmatic advertising / Retail
Deliverable
production ML models
Required skills
Python, Spark, SQL, Databricks, MLOps, model selection, statistics, experiment design (A/B testing), hyperparameter tuning, distributed data pipelines
Preferred skills
Ad-tech context, privacy engineering (GDPR/CCPA), LLM/embedding research, Databricks platform administration
Technologies
Spark, Databricks, Python, SQL, MLflow, Kafka, DV360, Braze, TTD, Cursor, Claude Code
Responsibilities
Design and execute offline evaluations and A/B tests; implement MLOps practices including model registries and drift monitoring; build high-volume feature engineering pipelines; integrate models into downstream production services via APIs; ensure compliance with data regulatory laws.
Seniority
Senior, hands-on IC
