AI Security Specialist

Job summary

Responsibilities

We're looking for a Staff AI Security Engineer to secure how Suno's models are built, trained, and served, and to build the systems that keep them that way. You'll work across the full model lifecycle, from training pipelines and compute infrastructure to the products millions of people create…

• Design and build security controls for model training and serving infrastructure, including compute clusters, pipelines, access to model artifacts, and the software supply chain…
• 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

What they're looking for

• 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

Tech stack

• Kubernetes
• Python