56 минут назад
Lead Cybersecurity Engineer (AI)
230 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Cybersecurity Engineer (AI): Lead the design and execution of adversarial evaluations of frontier AI models focusing on offensive cyber capabilities and AI-enabled cyber risk. With an accent on building scalable evaluation methodologies, safety infrastructure, and automated defenses. Focus on developing evaluation frameworks, collaborating with AI labs, and leading a cybersecurity team to establish industry standards for frontier AI security.
Location
Location: Remote (U.S. Only)
Salary
$230,000 - $280,000 per year plus performance bonus and equity package
Company
is a well-funded, fast-growing startup focused on AI safety and cybersecurity, building real-time threat detection and adaptive adversarial red teaming agents for frontier AI labs.
What you will do
- Design and lead adversarial evaluations of frontier LLMs for offensive cyber capabilities including vulnerability discovery, exploit development, malware generation, and autonomous cyber operations.
- Partner with machine learning engineers to build scalable benchmarks, classifiers, guardrails, and evaluation infrastructure for AI deployments.
- Develop and maintain a catastrophic cyber harm taxonomy and evolve cyber evaluation frameworks as AI capabilities advance.
- Produce technical risk assessments and recommendations for AI labs, enterprise customers, and internal stakeholders.
- Build, mentor, and lead a cybersecurity team while establishing evaluation processes and quality standards.
- Represent the company as a cybersecurity authority collaborating with AI labs, researchers, government, and AI safety communities.
Requirements
- Location: Must be able to work remotely within the U.S.
- Deep expertise in offensive cybersecurity, vulnerability research, exploit development, penetration testing, malware analysis, or related fields.
- Experience assessing advanced cyber threats and AI-enabled cyber capabilities, especially in critical infrastructure domains.
- Hands-on experience with adversarial evaluations, AI red-teaming, LLM security research, or building evaluation datasets for frontier AI systems.
- Comfortable working at the intersection of cybersecurity research, AI safety, and machine learning engineering.
- Strong software engineering skills in Python, Go, Rust, or similar systems programming languages.
Nice to have
- Experience developing machine learning models, AI security classifiers, or automated cyber detection systems.
- Experience working with frontier AI labs, national security organizations, or leading cybersecurity research teams.
- Background in threat intelligence, autonomous cyber operations, AI agent security, or AI governance.
Culture & Benefits
- Competitive compensation with performance bonus and equity package.
- 401k with up to 4% matching.
- 28 days annual leave including vacation and holidays.
- Health, dental, and vision coverage.
- Flexible work arrangements.
- Visa sponsorship available for exceptional candidates.
Hiring process
- Application review with response within 10 days.
- Online technical screen (15 min) with a job-relevant exercise.
- Introductory call (30 min) to discuss fit.
- Technical interview (90 min) including live coding and AI-related tasks.
- Experience and culture interview (60 min).
- Reference checks with 3-5 provided references.
- Offer stage if mutual fit is confirmed.
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