Staff Machine Learning Engineer - Data Lake, Anomaly Detection
Core
Building the world's largest cloud security platform by integrating GenAI, LLMs, and anomaly detection into a Zero Trust Exchange to protect customers from cyberattacks.
Role type
Staff Software Engineer (AI/ML & Distributed Systems)
Builds
Cloud-native Zero Trust Exchange platform, agentic troubleshooting frameworks, and production AI systems for incident response.
Domain
Cybersecurity / Cloud Security / AI & Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
AI/ML technologies, distributed systems, Python/Go/Java, Kubernetes, Docker, microservices, anomaly detection, LLMs, prompt engineering, data pipelines, real-time data processing
Preferred skills
autonomous AI agents, agentic orchestration, fine-tuning proprietary SLMs/LLMs, anomaly detection at scale, incident investigation
Technologies
Kubernetes, Docker, Python, Go, Java, LLMs, SLMs
Responsibilities
Own agentic troubleshooting frameworks and workflows; integrate GenAI and LLMs for production features; work with cloud platforms and data lakes for feature generation; handle volume data in real-time pipelines; design and operate scalable microservices and data pipelines.
Seniority
Staff, hands-on IC with strategic ownership