Member of Technical Staff, ML Security

The role

This person will own security across GPU clusters and AI/ML infrastructure from model training to production deployment. They will design, implement, and operate security controls to protect models, data, and underlying infrastructure.

What you will do

• Own the security of GPU clusters supporting distributed training and production inference.
• Harden GPU hosts, operating systems, drivers, container runtimes, Kubernetes clusters, and workload scheduling configurations.
• Secure distributed training environments and GPU workloads through isolation, access controls, and data movement restrictions.
• Design and implement controls to protect sensitive datasets, model checkpoints, weights, and customer data.
• Strengthen inference security through tenant isolation, service authorization, and secure model loading.
• Lead technical security assessments of GPU infrastructure providers, datacenter operators, and other AI security vendors.
• Translate security requirements into enforceable technical controls and continuous checks.
• Track internal and vendor security findings to closure and validate remediation.
• Design, implement, and maintain security controls across Linux, Kubernetes, cloud infrastructure, networks, and third party datacenter environments.
• Develop and maintain detection and response capabilities for infrastructure and AI-specific security threats.

Required qualifications

• Strong hands-on experience in Security Engineering, Infrastructure Security, Platform Security, or a related technical discipline.
• Deep understanding of Linux, Kubernetes, networking, and cloud infrastructure security.
• Practical experience securing or operating GPU clusters or distributed AI/ML infrastructure.
• Experience designing and implementing security controls across complex, distributed production environments.
• Strong knowledge of identity and access management, workload isolation, encryption, secrets management, and least-privilege principles.
• Experience conducting technical vendor security assessments, evaluating supporting evidence, and driving remediation with external providers.
• Ability to identify, investigate, and remediate security vulnerabilities and infrastructure threats.
• Proficiency in scripting or programming languages such as Python, Go, or Bash.
• Experience partnering with Infrastructure, Platform, or ML Engineering teams to implement security solutions.
• Strong technical ownership, sound judgment, and the ability to prioritize security risks in a fast-paced environment.
• A hands-on, collaborative approach with the ability to independently drive security initiatives from design through deployment.

Benefits

• Medical, dental, and vision insurance
• Competitive 401(k) retirement plan with company matching
• Stock option program

About the company

Higgsfield AI is a generative AI company building AI-powered video creation and next-generation creative tools. The company has 30M+ users worldwide and powers 390 of Fortune 500 brands.