Lead Machine Learning Engineer - LMTS
California - San Francisco, United States
USD 172K-285K Senior-level Full Time
Tasks
- Apply supervised and unsupervised learning
- Architect machine learning pipeline strategy
- Build feature engineering and feature store pipelines
- Build internal tooling feature stores and libraries
- Deliver production grade models for security operations
- Develop anomaly detection models
- Develop clustering models
- Develop graph models for threat detection
- Implement MLOps CI/CD pipelines
- Lead probabilistic modeling for unknown threats
- Mentor junior scientists and engineers
- Monitor model performance in production
- Operationalize production machine learning models
Perks/Benefits
- 401k
- Employee stock purchasing program
- Life and disability insurance
- Medical, dental, and vision insurance
- Mental health support
- Paid parental leave
- Time off programs
Skills/Tech-stack
Anomaly Detection | Apache Airflow | Apache Kafka | CI/CD | Clustering | Data Governance | Data Security | Docker | Feature Engineering | Feature Store | Flink | Graph analytics | Kubernetes | Language Processing | MLOps | Model Monitoring | Natural Language | Natural Language Processing | Probabilistic Modeling | PySpark | PyTorch | Python | Security analytics | Snowflake | Spark | Supervised Learning | TensorFlow | Testing | Unsupervised Learning
Education
Regions
Countries
States
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