Cribl

Staff Machine Learning Engineer focused on AI Research at Cribl, a company building telemetry infrastructure for the AI era. The role involves designing, training, and evaluating ML models, running experiments, building ML pipelines, and optimizing model performance. It requires strong Python and ML framework skills, familiarity with MLOps, and understanding of NLP, computer vision, or RL.

Staff AI Security Engineer to design, implement, and operationalize security and governance frameworks for Cribl's internal AI systems and workflows. This role focuses on enabling safe AI adoption by building shared infrastructure, security guardrails, and reusable patterns, addressing areas like API tokens, secrets management, shadow AI mitigation, AI telemetry, and compliance readiness. The goal is to provide a secure and governed platform for AI at Cribl.

Staff AI Platform Engineer responsible for designing, deploying, and operating a governed AI platform for internal systems and workflows. This role focuses on building the foundational infrastructure, security guardrails, and reusable patterns to enable secure and scalable AI adoption across the company, integrating with various enterprise systems and ensuring compliance.

Staff Software Engineer to integrate Generative AI into Cribl's telemetry infrastructure products, focusing on productionizing AI features, working with LLMs, fine-tuning, prompt engineering, and inference platforms.