Staff AI Security Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $235k - $350k / year

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• Lead the research agenda for agentic AI systems operating autonomously across cybersecurity use cases • Set scientific direction and shape the team’s research priorities • Run experiments, review results, and investigate difficult problems alongside the team • Drive original research on efficient models for security workflows, including post-training, reward modeling, and data curation • Lead experimental work on ambiguous research problems • Establish evaluation, verification, and validation methodologies for models, data, agent designs, and end-to-end systems • Develop benchmarks, adversarial evaluation protocols, and measurement practices • Partner with security researchers, threat intelligence, detection engineering, and product teams • Define abstractions for agent skills and tools grounded in security operations • Advance agent design science, including harnesses, scaffolding, planning, memory, tool use, and multi-step reasoning • Contribute novel techniques through publications and standards • Mentor and grow researchers in the security domain

🎯 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 focused 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, including designing, extending, or validating methodologies • Leadership style that values hands-on contributions at every level • Bonus: hands-on background in offensive security, detection engineering, incident response, or threat intelligence applied research • Bonus: experience designing RL environments and synthetic data pipelines for agent tuning • Bonus: experience with regulatory, compliance, or audit conversations about AI systems • Bonus: history of mentoring and growing researchers in the security domain

🏖️ Benefits

• Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Bonuses • Equity grants • Health insurance • 401k • Paid time off