
Machine Learning Systems Engineer, Ads ML Platform
Role on the Ads ML Platform team to design and build scalable data infrastructure, feature management, and training-set generation systems (batch and real-time). Responsibilities include feature governance (lineage, validation, drift detection, monitoring), integration with ML workflows, and operational excellence. Requires 3+ years in data infrastructure/platform or ML infrastructure and experience with distributed data/compute systems such as Spark, Kafka, Airflow, Kubernetes, BigQuery, or similar.







