Member of Technical Staff — Machine Learning & Agent Security Engineering
Core
Building scalable and resilient AI and ML capabilities for security engineering, specifically focusing on automated Agentic Trust workflows and security intelligence systems.
Role type
Senior IC machine learning and agent security engineer
Builds
High-availability production AI/LLM agentic systems, APIs, and high-throughput security intelligence pipelines
Domain
Cybersecurity + Generative AI + Machine Learning
Deliverable
production ML models | product features
Required skills
Python, software engineering fundamentals, production system operations, machine learning fundamentals, Generative AI/LLM integration, cloud/distributed systems, CI/CD, observability
Preferred skills
Agentic AI workflows (tool calling, state management), ML frameworks (PyTorch, scikit-learn, XGBoost), distributed data processing (Ray, Spark, Kafka), MLOps, adversarial AI/ML, security frameworks (MITRE ATT&CK)
Technologies
Python, PyTorch, scikit-learn, Hugging Face, XGBoost, Ray, Spark/PySpark, Kafka, Flink, Airflow, Docker, Kubernetes
Responsibilities
Architect and operate high-availability AI and LLM agentic systems; engineer high-throughput data-processing pipelines for security telemetry; operationalize ML models for threat detection; own end-to-end system lifecycle including testing, deployment, and production monitoring
Seniority
Senior, hands-on IC