6 часов назад
Security Engineer (AI/ML Security)
200 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Security Engineer (AI/ML Security): Securing AI products, foundation models, cloud infrastructure, and enterprise customer data with an accent on application security, AI/ML threat defense, and compliance. Focus on building secure-by-design tooling, protecting high-throughput inference and GPU environments, managing Kubernetes isolation, and automating security across AWS/GCP using infrastructure as code.
Location: San Francisco, United States; on-site
Salary: $200,000–$400,000 USD per year, plus equity and benefits
Company
builds AI-powered simulation infrastructure for modeling human behavior and helping organizations make data-informed decisions.
What you will do
- Own the security roadmap for AI products, foundation models, infrastructure, and customer data.
- Partner with enterprise customers on security procurement, technical security agreements, posture reviews, and data-handling requirements.
- Conduct threat modeling and secure design reviews from initial product design through implementation.
- Build security tooling and paved paths that help engineering and research teams ship safely.
- Oversee bug bounty activities and vulnerability scanning, prioritizing remediation based on risk.
- Secure AI/ML pipelines, inference systems, GPU environments, Kubernetes clusters, and multi-cloud infrastructure.
Requirements
- 5+ years of experience in application or infrastructure security in a high-growth environment.
- Deep experience securing AWS environments; GCP or Azure experience is advantageous.
- Experience with AI/ML security, including prompt injection defenses or protection of model weights.
- Strong Kubernetes experience with EKS or GKE, including multi-tenant security and resource isolation.
- Experience with modern observability, operational ownership, and a collaborative approach to vulnerability remediation.
- Proven experience with SOC2, HIPAA, or similar regulatory frameworks in cloud-native environments.
Nice to have
- Experience integrating agentic AI workflows into developer security tooling.
- Experience with GCP or Azure in addition to AWS.
Culture & Benefits
- Work with a global team of researchers, engineers, designers, and operators.
- Competitive compensation including base salary and equity.
- Comprehensive medical, dental, and vision coverage.
- Flexible time-off policies.
- Thoughtful conversations and clear examples of past work are emphasized during hiring.
Hiring process
- The process focuses on alignment around role fit, working style, and expectations.
- Applicants may reapply for the same role after a 90-day waiting period.
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