AI Research Scientist, Agentic Systems (Remote)

USA - Remote · Remote · full time · Senior

$120,000 – $180,000

Listed on CrowdStrike’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role focuses on building AI agents and training large language models to automate cybersecurity workflows, working with real-world threat data and security operations processes. It suits researchers with deep machine learning expertise who want to apply post-training techniques like reinforcement learning to autonomous systems in a domain with unique, large-scale data.

Our summary, not CrowdStrike’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

PhD-level understanding of modern machine learning research
Experience training generative models and LLM fundamentals
Core expertise in reinforcement learning and post-training techniques
Experience building agentic systems with tool calling and memory management
Fluency with PyTorch and the LLM training and serving stack
Strong research engineering and experiment tracking practices
Ability to work independently on ambiguous objectives
Experience designing evals and benchmarks for LLM systems

Nice to have

Experience generating synthetic training data and agent trajectories
Knowledge of inference-time scaling and test-time compute methods
Experience with agent safety, guardrails, and abuse resistance
Interpretability and failure analysis skills
Open-source contributions and strong technical writing
Cybersecurity domain knowledge or passion for applying ML to security
Self-starter mentality and willingness to learn new technologies