Lead Agentic AI Security Scientist (Remote)

CrowdStrike, Inc.; Washington (Washington County); On-site; USD 235,000 - 350,000; Full time

Benefits offered by this job

Market-leading compensation

Wellness programs

Generous vacation

Parental leave

Professional development

Employee networks

Office culture and amenities

Great Place to Work Certified

Job summary

CrowdStrike, Inc. is seeking an applied research lead to drive agentic AI work across cybersecurity use cases. You’ll set the scientific direction, lead experiments, and advance state-of-the-art in autonomous security agents.

This player/coach role requires a strong publication record, hands-on model development, and the ability to mentor researchers while partnering with threat intel, detection engineering, and product teams to ground research in real workflows.

Qualifications

• MS or PhD in computer science, computer engineering, or similar quantitative field.
• 10+ years of experience in data science, ML/DL, or AI with a focus on large-scale data problems.
• Hands-on expertise in modern LLM post-training techniques.
• Demonstrated research contributions to or experience building agentic systems.
• Strong evaluation discipline (designing, extending, or validating methodologies).
• A leadership style that values hands-on contributions at every level, including your own.

Responsibilities

• Lead the research agenda for agentic AI systems that operate autonomously across cybersecurity use cases. Set scientific direction, shaping the team’s research bets and staying close enough to the work to run experiments, review results, and dig into hard problems alongside the team.
• Drive original research on efficient models tuned for security workflows, including methods in post-training, reward modeling, and data curation strategies that enable them. Personally lead the experimental work on the most ambiguous problems.
• Establish a rigorous evaluation, verification, and validation methodology covering models, data, agent designs, and end-to-end systems. This includes current and new benchmarks, adversarial evaluation protocols, and measurement practices that others in the field will adopt.
• Partner closely with security researchers, threat intel, detection engineering, and product to ground applied research in real operator workflows and adversarial conditions.
• Define principled abstractions for the skills and tools agents use, grounded in practical ways that security agents execute.
• Advance the science of agent design, including harnesses, scaffolding, planning, memory, tool use, and multi-step reasoning. Contribute novel techniques back to the field through publications and standards.

Skills

Data science

ML/DL

AI

LLM post-training

Research leadership

Evaluation discipline

Hands-on leadership

Education

MS or PhD in computer science or quantitative field

Job description

CrowdStrike, Inc. is seeking an applied research lead to drive agentic AI work across cybersecurity use cases. You’ll set the scientific direction, lead experiments, and advance state-of-the-art in autonomous security agents.

This player/coach role requires a strong publication record, hands-on model development, and the ability to mentor researchers while partnering with threat intel, detection engineering, and product teams to ground research in real workflows.