Staff AI Security Scientist

Crowdstrke
United States
Workplace: RemoteFull timeUSD 235,000 - 350,000 annuallyFunction: Research & Scientific (R&D)Experience: 10+ yearsEducation: mastersSkills: ["Leadership","Hands-on collaboration","Research rigor","Evaluation discipline","Mentoring"]

Lead applied research on agentic AI for cybersecurity, shaping the scientific direction and driving experiments that turn research breakthroughs into next-generation security products. Work across the full agent lifecycle—efficient post-training, reward modeling, data curation, and rigorous evaluation/verification/validation with new benchmarks and adversarial protocols. Partner with security, threat intel, detection engineering, and product to ground research in real operator workflows.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Crowdstrke
Crowdstrke
4 days ago

Staff AI Security Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead applied research on agentic AI for cybersecurity, shaping the scientific direction and driving experiments that turn research breakthroughs into next-generation security products. Work across the full agent lifecycle—efficient post-training, reward modeling, data curation, and rigorous evaluation/verification/validation with new benchmarks and adversarial protocols. Partner with security, threat intel, detection engineering, and product to ground research in real operator workflows.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Lead the research agenda for agentic AI systems operating autonomously across cybersecurity use cases.
  • •Drive original research on efficient security-focused models, including post-training, reward modeling, and data curation; personally lead experiments on the most ambiguous problems.
  • •Establish rigorous evaluation, verification, and validation methodology across models, data, agent designs, and end-to-end systems, including benchmarks and adversarial protocols.
  • •Partner with security researchers, threat intel, detection engineering, and product to ground applied research in real operator workflows and adversarial conditions.
  • •Define abstractions for skills and tools agents use, and advance agent design (harnesses, scaffolding, planning, memory, tool use, multi-step reasoning) with publications and standards.

Pay and Benefits

Salary: USD 235,000 - 350,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kPaid LeaveParental Leave

Key Requirements

  • •MS or PhD in computer science, computer engineering, or a 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 for designing, extending, or validating methodologies.
Experience:10+ years
Education:Master's
Skills:LeadershipHands-on collaborationResearch rigorEvaluation disciplineMentoring
Tech Stack:AIMLDeep learningData scienceLLMLLM post-trainingReward modelingReinforcement learning

Company Brief

Crowdstrke
Provides cloud-native endpoint protection, threat intelligence, and security operations solutions that prevent breaches and stop sophisticated cyberattacks across endpoints, cloud workloads, identity, and APIs for enterprises worldwide.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sunnyvale, United States
Founded: 2011
Glassdoor
Glassdoor: 4.4
WebsiteLinkedIn