[P] Data Engineer, Safeguards
Core
Build data foundations, pipelines, and warehousing solutions to monitor AI models, prevent misuse, and ensure user well-being.
Role type
Senior Data Engineer (AI Safety & Safeguards)
Builds
Scalable data pipelines, data models, warehousing solutions, and analytical tooling for safety monitoring and abuse detection.
Domain
Artificial Intelligence / Trust & Safety
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
SQL, Python, ETL/ELT pipeline development, cloud data platforms (BigQuery, Redshift, Snowflake), data orchestration (dbt, Airflow, Spark), data visualization (Looker, Tableau, Metabase)
Preferred skills
Trust and safety data systems, large-scale event streaming (Kafka, Pub/Sub, Kinesis), ML model monitoring infrastructure, data privacy compliance (GDPR, CCPA), statistical analysis
Technologies
BigQuery, Redshift, Snowflake, dbt, Airflow, Spark, Kafka, Pub/Sub, Kinesis, Looker, Tableau, Metabase
Responsibilities
Design and maintain scalable data pipelines for safety monitoring and abuse detection; Develop and optimize data models for large-scale usage analysis; Build dashboards and reporting infrastructure for model behavior visibility; Integrate data from multiple sources into a unified analytical layer; Implement data quality frameworks and alerting; Partner with research teams to surface data insights for safety interventions
Seniority
Senior, hands-on IC
