Lead Machine Learning Engineer - LMTS
Core
Architect data-driven threat detection strategies and build scalable ML pipelines for cybersecurity within Salesforce's Trust Intelligence Platform.
Role type
Senior/Lead Machine Learning Engineer (Cybersecurity)
Builds
Production-grade threat detection models, feature stores, and internal tooling for the security engineering organization.
Domain
Cybersecurity / Machine Learning
Deliverable
production ML models
Required skills
Anomaly detection, clustering, graph analytics, Spark/Pyspark, Apache Kafka, Kubernetes, Apache Airflow, Python, TensorFlow, Pytorch, MLOps, feature engineering
Preferred skills
NLP, open-source security tools, conference presentations, offensive security background, research collaboration
Technologies
TensorFlow, PyTorch, Spark, Pyspark, Kafka, Kubernetes, Airflow, Docker, Snowflake, Flink
Responsibilities
Translate security threats into mathematical problems, lead threat detection evolution, mentor junior scientists, deliver production-grade models for SOC use
Seniority
Senior/Lead, hands-on IC with mentorship
