Senior Machine Learning Engineer, Defensive Agent
Core
Build and operate production ML/LLM pipelines for autonomous defensive agents that proactively find and fix exploitable attack vectors in cloud environments.
Role type
Senior Machine Learning Engineer (Defensive Agent / Production ML)
Builds
Production-ready autonomous pentesting agents and model-serving infrastructure for NodeZero platform
Domain
Cybersecurity / Cloud Security / Autonomous Agents
Deliverable
production ML models
Required skills
Python, ML pipelines (training/fine-tuning), model serving infrastructure, cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), SQL, data pipelines, observability, cost/latency optimization
Preferred skills
LLM/agentic system operationalization, post-training (SFT/distillation/RL), model gateways/multi-provider routing, GPU inference optimization, graph databases (Neo4j), regulated environment deployment
Technologies
vLLM, TGI, Bedrock, Datadog, Prometheus, Grafana, GraphQL, PostgreSQL, Neo4j, Kubernetes, Docker
Responsibilities
Build training and post-training pipelines; build inference and serving layer with routing and caching; own release path for model artifacts; build monitoring for drift and quality; build data/context pipelines for inference; optimize cost and latency; develop ETL/GraphQL features for product integration
Seniority
Senior, hands-on IC