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6 часов назад

Security Engineer (AI/ML Security)

200 000 - 400 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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