Security Engineer, ML Infrastructure
Higgsfield1 day ago
Base Salary
$200k - $300k/yr
Responsibilities
- Own security across the AI/ML lifecycle, including data ingestion, model training, inference, and deployment.
- Protect sensitive datasets, model checkpoints, model weights, and customer data through security controls.
- Secure distributed training environments and GPU workloads using isolation, access controls, and data movement restrictions.
- Strengthen inference security through tenant isolation, service authorization, secure model loading, and protection of customer inputs and outputs.
- Design and maintain security controls across Linux, Kubernetes, cloud infrastructure, networks, and rented datacenters.
- Implement least-privilege access, workload identity, secrets management, encryption, and auditable access controls.
- Secure CI/CD pipelines, infrastructure as code, software dependencies, and infrastructure provisioning.
- Identify and remediate vulnerabilities and configuration risks across production systems.
- Develop detection and response capabilities for infrastructure and AI-specific security threats.
- Investigate credential compromise, unauthorized data access, model theft, and compromised workloads.
- Conduct threat modeling and security assessments across AI/ML systems and infrastructure.
- Drive a prioritized security engineering roadmap focused on measurable risk reduction.
Requirements
- 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.
- 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 securing CI/CD pipelines, infrastructure as code, and software dependencies.
- 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 ability to prioritize security risks in a fast-paced environment.
- Hands-on, collaborative approach with the ability to independently drive security initiatives from design through deployment.
Benefits
- Base salary range of $200,000-$300,000 depending on experience, skills, scope, and location.
- Bonus eligibility and potential participation in the company’s discretionary annual bonus program.
- Eligibility to participate in the company’s stock option program.
- Medical, dental, and vision insurance.
- Competitive 401(k) retirement plan with company matching.
- Additional benefits and perks, professional growth opportunities, and significant ownership.
- Hybrid work in the San Francisco Bay Area: three full days per week in the San Francisco office and remaining days remotely, with availability during agreed working hours and sufficient team time-zone overlap.
Tech Stack
Categories
About Higgsfield
Higgsfield builds generative AI tools for video and image creation used by creators, brands, and social media teams to produce content at scale. The company offers a studio-style app and AI-powered workflows for generation, editing, and marketing automation. Founded in 2023 and headquartered in San Francisco, it is privately held.