Senior Machine Learning Engineer, Ads ML Platform
Tasks
- Build agentic ML workflows automated feature discovery feature quality evaluation feature lifecycle management
- Build feature governance systems lineage tracking validation drift detection anomaly monitoring reproducibility versioning
- Design and build data infrastructure for feature computation and storage
- Develop batch and real time feature frameworks
- Drive architecture for high scale ML platform infrastructure for ads ranking targeting and optimization
- Improve operational excellence with observability performance tuning reliability engineering cost optimization
- Integrate feature engineering workflows into ML production systems
Perks/Benefits
- 401k employer match
- Caregiving support
- Comprehensive healthcare benefits
- Family planning support
- Flexible remote work
- Flexible vacation
- Gender-affirming care
- Mental health coaching
- Paid parental leave
- Paid volunteer time off
- Professional development
Skills/Tech-stack
Anomaly Detection | Data Governance | Data Infrastructure | Data Lineage | Data Storage | Data Validation | Distributed Systems | Drift Detection | Experimentation | Feature Engineering | MLOps | Machine Learning | Model Deployment | Model Drift | Model Drift Detection | Online Serving | Pipeline Orchestration | PySpark | Real Time | Real-time Processing | Reproducibility | Scala | Spark | Time processing | Version control
Education
N/A
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