About this role
Job title: Data Scientist, Agentic Systems (Remote)
About the Role The Data Science team is expanding and is looking for a Data Scientist to help build the next generation of agentic systems for cybersecurity. CrowdStrike's cybersecurity data is one-of-a-kind: we process nearly a trillion behavioral events per day. You'll work where Machine Learning, Big Data, and Cybersecurity converge — training models, building AI agents, and rigorously measuring whether they work — on data and problems you won't find anywhere else.
What You'll Do
- Work at the intersection of Artificial Intelligence and Threat Research
- Work closely with subject-matter experts in cybersecurity to understand analyst workflows and their security operations procedures
- Post-train LLMs and agents — supervised fine-tuning and reinforcement learning (RLHF/RLAIF, PPO/GRPO/DPO, reward modeling) — to automate analyst procedures and improve reliability on real security tasks
- Devise AI agents and combine them into increasingly complex workflows: planning and reasoning loops, tool and function calling, and retrieval and memory
- Research new approaches to agentic planning, and prototype state-of-the-art methods from the literature
- Establish objective criteria for benchmarking agentic systems — evals, LLM-as-judge pipelines, and trajectory-level metrics, with real statistical rigor
- Optimize prompts and inference to get the most out of every model
- Collaborate and coordinate across Engineering, Data Science, and Managed Services teams, and partner with engineers to take prototypes toward production