AI Security Specialist
About The Position
Suno is seeking a Staff AI Security Engineer to secure how its models are built, trained, and served, and to build systems that maintain that security. The role spans the full model lifecycle, from training pipelines and compute infrastructure to products used by millions. The engineer will partner with ML research, platform, and product engineering, and set technical direction for AI security as the function grows. The position focuses on building security controls for model infrastructure, production detection and guardrail systems, and adversarial testing capabilities. It also involves threat modeling and reviewing customer-facing AI features, establishing secure defaults, defining standards and reference architectures, and raising the security bar across engineering.
Requirements
- 8–10 years of experience in security engineering, including hands-on experience 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, including 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.
Nice To Haves
- 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.
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.
- Engineer 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 resulting fixes to completion.
- Partner with ML research and platform teams to make secure defaults the easy path for training, evaluating, and deploying models.
- Partner with product engineering to threat model and review customer-facing AI features before launch, and build shared controls that enable safe shipping by default.
- Set technical direction for AI security, including standards, reference architectures, and the roadmap, while raising security standards across engineering.
- Help keep Suno's platform trustworthy for its users.
Benefits
- Company equity package.
- 401(k) with 3% employer match and Roth 401(k).
- Medical, dental, and vision insurance, with PPO, HSA, and FSA options.
- 11 paid holidays and unlimited PTO and sick time.
- 16 weeks of paid parental leave.
- Creative education stipend.
- Generous commuter allowance.
- In-office lunch five days per week.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
