AI Security Specialist

Suno; New York (NY); On-site; USD 277,000 - 364,000; Full time

Benefits offered by this job

Company Equity Package

401(k) with 3% Employer Match & Roth

Medical, Dental, & Vision Insurance (P

11 Paid Holidays + Unlimited PTO & S

16 Weeks of Paid Parental Leave

Creative Education Stipend

Generous Commuter Allowance

In-Office Lunch (5 days per week)

Job summary

Suno is seeking a Staff AI Security Engineer in the United States to secure model training, evaluation, and deployment across the full lifecycle. You will design controls for training clusters, pipelines, access to artifacts, and the software supply chain, working with ML research and platform teams to enforce secure defaults.

You'll partner with product engineering to threat model features and build shared controls to ship safely by default, while guiding Suno's AI security roadmap and

Qualifications

• 8–10 years in security engineering in production.
• Track record designing and shipping security systems and tooling.
• Deep knowledge of cloud and infrastructure security: IAM, Kubernetes, network segmentation, secrets management, infrastructure as code.
• Strong understanding of ML training and serving pipelines and their attack surface.
• Fluency with LLM and generative AI attack vectors 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.
• Break our own systems through adversarial testing and red-teaming across models, pipelines, and products, then drive 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.
• Collaborate with product engineering to threat model customer-facing AI features before launch and build shared controls to ship safely by default.
• Set technical direction for AI security at Suno, including standards and roadmap, raising the security bar across engineering.
• Help make the platform trustworthy so millions of creators can use Suno daily.

Skills

Security engineering

Security tooling

Cloud security

Kubernetes

ML security

Python or Go

Influencing without authority

Tools

Garak

PyRIT

Job description

About Suno

We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.

Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.

Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).

About the Role

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 with. You'll partner closely with ML research, platform, and product engineering, and set the technical direction for AI security as the function grows. There's a lot to build, and you'll be building it.

Listen to the song we made about it: https://suno.com/s/JJoqlgtg8424Uq68

What You'll Do

• 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

What You'll Need

• 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

Nice-to-Haves

• Experience at a foundational model company or an AI research lab


• 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

Perks & Benefits for Full-Time Employees

• 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)

Compensation:

• The annual salary range for this role is $276,960 - $363,510 + target equity + benefits (including medical, dental, vision, and 401k)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.