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AI Security Specialist

Suno· Engineering
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NYC$277k - $363.5kFull-timePosted 4d ago

About the role

Staff AI Security Engineer focused on securing Suno's model lifecycle—from training to serving—across pipelines, infrastructure, and products, partnering with ML research, platform, and product engineering to set and execute the technical direction for AI security.

Responsibilities

  • Design and build security controls for model training and serving infrastructure, including compute clusters, pipelines, access to model artifacts, and the software supply chain behind them
  • Engineer detection, monitoring, and guardrail systems for model inputs, outputs, and agentic tool use, as production code rather than one-off scripts
  • Break our own systems through adversarial testing and red-teaming across models, pipelines, and products, then drive the fixes to done
  • Partner with ML research and platform teams to make secure defaults the easy path in how models are trained, evaluated, and deployed
  • Partner with product engineering to threat model and review customer-facing AI features before launch, and build the shared controls that let teams ship them safely by default
  • Set technical direction for AI security at Suno, including standards, reference architectures, and the roadmap, while raising the security bar across engineering
  • Help make creative fulfillment a daily reality for everyone by keeping the platform trustworthy enough that millions of people want to create on it

Qualifications

  • 8–10 years in security engineering, including hands-on work securing ML systems or large-scale ML infrastructure in production
  • A track record of designing and shipping security systems and tooling, not only assessing them
  • Deep knowledge of cloud and infrastructure security: IAM, Kubernetes, network segmentation, secrets management, and infrastructure as code
  • Strong understanding of ML training and serving pipelines and their attack surface, including model supply chain risks and protecting model weights and artifacts
  • Fluency with 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
  • Experience setting technical direction and influencing senior engineers and leaders without formal authority

Skills

Required:Security engineering for ML systemsSecurity tooling & systems designCloud and infrastructure securityML pipeline securityLLM / generative AI securityProgrammingTechnical leadership

Benefits

  • Company Equity Package
  • 401(k) with 3% Employer Match & Roth 401(k)
  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
  • 11 Paid Holidays + Unlimited PTO & Sick Time
  • 16 Weeks of Paid Parental Leave
  • Creative Education Stipend
  • Generous Commuter Allowance
  • In-Office Lunch (5 days per week)
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Suno

Create stunning original music for free in seconds using AI.

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