Чётко описанная роль Staff-уровня предлагает зарплату выше рыночной, влияние на безопасность моделей на всех этапах и работу в быстрорастущей AI-компании; главный компромисс - офис пять дней в неделю.
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Офис каждый деньЗарплата выше рынкаБезопасность AIСовременный стекЧёткие задачиХороший пакет льгот
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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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