Назад
7 дней назад

Staff AI Security Engineer

276 960 - 363 510$
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
Staff AI Security Engineer (AI Security/ML Infrastructure): Securing the full lifecycle of AI models, from training pipelines and compute infrastructure to customer-facing generative AI products, with an accent on cloud security, model supply chains, and production guardrails. Focus on designing security controls, red-teaming models and pipelines, threat modeling AI features, and setting technical direction for AI security.

Location: NYC, USA; in-office work five days per week

Salary: $276,960–$363,510 annually, plus equity and benefits

Company

Suno is a consumer entertainment company building an AI music platform used to create and share music.

What you will do

  • Design and build security controls for model training and serving infrastructure, compute clusters, pipelines, model artifacts, and the software supply chain.
  • Develop production detection, monitoring, and guardrail systems for model inputs, outputs, and agentic tool use.
  • Conduct adversarial testing and red-teaming across models, pipelines, and products, and drive remediation.
  • Partner with ML research, platform, and product engineering to establish secure defaults and review customer-facing AI features.
  • Set technical direction through security standards, reference architectures, and an AI security roadmap.

Requirements

  • 8–10 years of security engineering experience, including securing ML systems or large-scale ML infrastructure in production.
  • Experience designing and shipping security systems and tooling.
  • Deep knowledge of cloud and infrastructure security, including IAM, Kubernetes, network segmentation, secrets management, and infrastructure as code.
  • Strong understanding of ML training and serving pipelines, model supply chain risks, and protection of model weights and artifacts.
  • Knowledge of LLM and generative AI attack vectors and frameworks such as OWASP Top 10 for LLMs and MITRE ATLAS.
  • Strong coding skills in Python or Go, plus experience influencing senior engineers and leaders without formal authority.

Nice to have

  • Experience at a foundation model company or AI research lab.
  • Experience securing GPU compute environments or distributed training at scale.
  • Hands-on experience with adversarial testing tools such as Garak or PyRIT.
  • Experience securing audio, media, or other generative content pipelines.

Culture & Benefits

  • Equity package and 401(k) with a 3% employer match plus Roth 401(k).
  • Medical, dental, and vision insurance with PPO, HSA, and FSA options.
  • Unlimited PTO and sick time, 11 paid holidays, and 16 weeks of paid parental leave.
  • Creative education stipend and commuter allowance.
  • In-office lunch provided five days per week.

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