Staff Security Detection Engineer, Machine Learning
WA - Seattle; CA - San Francisco
USD 176K-209K (estimate) Senior-level Full Time
Tasks
- Build detection and model lifecycle in production
- Collaborate with SOC on feedback loops
- Design anomaly detection models
- Develop runbooks and documentation
- Engineer and tune features from security telemetry
- Implement Detection-as-Code
- Maintain model governance
- Mentor engineers and analysts
- Monitor model drift and data quality
- Operationalize detections and model deployment
- Run root cause and post incident reviews
- Translate threat hypotheses into analytics
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Autoencoders | Azure | CI/CD | Clustering | Data Quality | Data quality monitoring | Databricks | Delta Lake | Drift monitoring | Experiment tracking | Explainability | Feature Stores | Flink | GCP | GCS | Iceberg | Isolation forests | Kafka | Kinesis | MLOps | Machine Learning | Model Registry | Model Rollback | Model versioning | Pandas | Pub/Sub | PyTorch | Python | Quality monitoring | S3 | SQL | Scikit-learn | Snowflake | Spark | TensorFlow | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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