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Security Engineer, ML Infrastructure
Higgsfield AIPosted 10/20/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $200,000 - $300,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Security Engineering and Infrastructure Security, with a strong focus on implementing security controls across AI/ML systems and cloud infrastructure. Proficient in identifying vulnerabilities and managing risks while collaborating with cross-functional teams to enhance security without compromising performance.
Highest-signal resume keywords
Security EngineeringInfrastructure SecurityLinux SecurityKubernetes SecurityIdentity And Access Management
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own security across the AI/ML lifecycle, including data ingestion, model training, inference, and deployment
- Design and implement controls protecting sensitive datasets, model checkpoints, weights, and customer data
- Secure distributed training environments and GPU workloads through 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
- Partner with ML and Platform Engineering teams to integrate security into infrastructure design and development workflows
- Design, implement, and maintain security controls across Linux, Kubernetes, cloud infrastructure, networks, and rented datacenter environments
- Secure infrastructure provisioning, configuration management, and access to third-party infrastructure providers
- Implement least-privilege access, workload identity, secrets management, encryption, and auditable access controls
- Strengthen infrastructure security through secure CI/CD pipelines, dependency management, and infrastructure as code
- Identify and remediate vulnerabilities and configuration risks across production systems
- Develop and maintain detection and response capabilities for infrastructure and AI-specific security threats
- Investigate and respond to potential credential compromise, unauthorized data access, model theft, and compromised workloads
- Conduct threat modeling and security assessments across AI/ML systems and infrastructure
- Build and execute a prioritized security engineering roadmap focused on measurable risk reduction
- Partner cross-functionally to implement practical security improvements without compromising performance, scalability, or reliability
Requirements
What you’ll need- 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 ability to independently drive security initiatives from design through deployment
- Based in the San Francisco Bay Area or willing to relocate
- Able to work in the San Francisco office at least three days per week
- Available during agreed working hours and able to maintain sufficient overlap with the relevant team’s time zone
Benefits
Comp & perks- Bonus eligible; may participate in the Company's discretionary annual bonus program
- Eligible 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
- Opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team
- Significant ownership, direct impact, and opportunities for professional growth as the company scales
- Hybrid work arrangement with remaining days worked remotely
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Security Controls ImplementationVulnerability RemediationScripting Languages (Python, Go, Bash)CI/CD Pipeline SecurityEncryptionSecrets ManagementWorkload IsolationInfrastructure As CodeThreat ModelingRisk Assessment
Soft Skills
Technical OwnershipCollaborative ApproachSound JudgmentPrioritization Skills
Tools & Technologies
Cloud InfrastructureDistributed Production EnvironmentsAccess ControlsData Movement RestrictionsConfiguration Management
Industry Keywords
AI/ML LifecycleData IngestionModel TrainingInference SecurityTenant Isolation