Senior Staff Machine Learning Systems Engineer, Ads ML Platform
Tasks
- Build workflow automation and self service platform abstractions
- Define architecture for ML feature and training data systems
- Design batch and streaming computation standards
- Extend platform into serving and online experimentation
- Implement data lineage quality and observability practices
- Lead offline experimentation and model iteration workflows
- Mentor staff and senior engineers and raise operational bar
- Own Ads ML engineer lifecycle strategy
- Partner across engineering teams to drive execution
Perks/Benefits
- 401k employer match
- Comprehensive healthcare benefits
- Family planning support
- Flexible vacation
- Gender-affirming care
- Generous paid parental leave
- Global benefits
- Income replacement programs
- Mental health coaching
- Paid volunteer time off
Skills/Tech-stack
Apache Airflow | Apache Flink | Apache Iceberg | Apache Kafka | Apache Spark | Architecture | Backfill Processing | Batch Processing | Data Engineering | Data Lineage | Data Quality | Databricks | Distributed Systems | Feature Engineering | Google BigQuery | Kubernetes | Learning systems | Machine Learning | Machine learning systems | Model Serving | Observability | Offline experimentation | Online Experimentation | Ray | Snowflake | Streaming processing | Training data
Education
N/A
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