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Suno

Text-to-song AI music generation platform

AI Security Specialist

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • 8–10 years of security engineering experience, including hands-on experience securing machine learning systems or large-scale machine learning 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, including identity and access management, Kubernetes, network segmentation, secrets management, and infrastructure as code.
  • Strong understanding of machine learning training and serving pipelines and their attack surface, including model supply-chain risks and protection of model weights and artifacts.
  • Fluency with large language model 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.

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.
  • Conduct adversarial testing and red-teaming across models, pipelines, and products, then drive fixes to completion.
  • Partner with machine learning research and platform teams to make secure defaults the easy path in model training, evaluation, and deployment.
  • Partner with product engineering to threat model and review customer-facing AI features before launch, and build shared controls that let teams ship them safely by default.
  • Set technical direction for AI security, including standards, reference architectures, and the roadmap, while raising the security bar across engineering.

Desired Qualifications

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

About the Company

Suno

Text-to-song AI music generation platform

Suno creates AI-generated music from text prompts. It lets users describe a mood, genre, or idea and automatically produces fully produced songs with vocals, instrumentation, and arrangements, without requiring any musical training. The product works by turning user prompts into complete songs using generative AI models, offering a library of styles from pop and rock to ambient and cinematic. What sets Suno apart is its combination of engineering and songwriting culture, a fast-growing platform that supports many musical styles and a broad global user base, and its emphasis on making music creation accessible to non-musicians while delivering a complete song output rather than isolated elements. The company aims to reshape how songs are conceived, produced, and shared and to help more people create music by lowering technical barriers and enabling rapid, iterative experimentation.

Company size
501-1,000
Company stage
Series D
Total funding
$775M
Headquarters
Cambridge, MA
Founded
2022

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