Remote ML Security Engineer — Guardrails & Incidents

Bright Vision Technologies; Bellevue (WA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an ML Security Engineer for a 100% remote role in the United States. The position requires 6+ years of security engineering experience focusing on AI/ML systems, with strong knowledge of LLM internals and secure AI deployments.

Responsibilities include designing security controls, building threat models, implementing model endpoint protections, and leading red-team exercises to strengthen AI security postures.

Qualifications

• Bachelor’s or Master’s degree in CS, Cybersecurity, or related discipline.
• Six+ years of security engineering experience, including AI/ML systems.

Responsibilities

• Define and implement security controls targeting LLM and AI risks.
• Build threat models for AI systems including prompt injection and data exfiltration.
• Design and deploy guardrails, content filters, and policy enforcement around model endpoints.
• Implement runtime detection and response for adversarial prompts.
• Secure training and fine-tuning pipelines with data provenance and access controls.
• Lead red-team exercises against AI systems and drive remediation of weaknesses.

Skills

Security engineering

AI/ML systems

Python

Threat modeling

Cloud security

Cryptography basics

Education

Bachelor’s or Master’s degree in Computer Science or Cybersecurity

Job description

Bright Vision Technologies is seeking an ML Security Engineer for a 100% remote role in the United States. The position requires 6+ years of security engineering experience focusing on AI/ML systems, with strong knowledge of LLM internals and secure AI deployments.

Responsibilities include designing security controls, building threat models, implementing model endpoint protections, and leading red-team exercises to strengthen AI security postures.