Jobs → Engineering → ML Engineer

About the Role We are looking for an ML Engineer to join our team in Mountain View, CA. This role involves building feature pipelines and managing feature definitions, registry, and monitoring. Key Responsibilities • Build feature pipelines on EMR Serverless Spark and Event streaming • Own feature management including definitions, registry, backfills, and monitoring • Train and evaluate models for insider-risk scoring and anomaly detection • Deploy and serve models on the Intuit ML Platform • Keep scores explainable with per-feature contributions and evidence links • Run the ML lifecycle including retraining schedules and monitoring • Work with data engineering and analytics teams to implement ML scoring Requirements • Production data pipelines with Spark/PySpark and Kafka • ML training experience with gradient boosting, anomaly detection, sequence or graph models • Feature management experience with feature stores or pipelines • Model serving and MLOps experience with CI/CD, model registry, and monitoring • Python as primary language, plus strong SQL and data modeling • Data analysis experience with telemetry and score validation