Principal Machine Learning Engineer (Advanced Threat Protection)
Core
Architect and deliver next-generation AI-driven cloud security solutions, specifically focusing on agentic systems, LLMs, and SLMs for threat protection.
Role type
Principal Machine Learning Engineer (Advanced Threat Protection)
Builds
Agentic systems, LLMs, SLMs, and Security-as-a-Service (SECaaS) offerings
Domain
Cybersecurity / Cloud Security / AI/ML
Deliverable
production ML models
Required skills
Python, Go, Java, Apache Spark, SQL, Google Cloud (Dataproc, GKE), LLM/SLM fine-tuning, GPU profiling/debugging, CUDA, RAG, vector storage
Preferred skills
Cybersecurity domain knowledge, L3–L7 networking protocols, high-volume telemetry handling
Technologies
LLMs, SLMs, Apache Spark, BigQuery, Google Cloud, CUDA
Responsibilities
Architect ML/GenAI-powered agents with dynamic planning and multi-agent collaboration; Build, evaluate, and fine-tune LLMs and SLMs; Optimize model training and inference on GPU clusters; Architect scalable data preprocessing pipelines; Drive end-to-end engineering from prototype to production; Evaluate state-of-the-art agent frameworks and model serving engines
Seniority
Principal, hands-on IC with technical leadership
