AI Security Engineer: Threat Research & ML Defenses

Franklin Fitch

New York (NY)

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Job summary

Franklin Fitch is seeking an experienced AI Security Engineer to join a global cybersecurity technology company expanding its AI and security capabilities. The role requires addressing threats across AI/ML technologies and collaborating with cross-functional teams.

You will research threats, perform threat modeling, and develop AI security controls, while supporting the AI development lifecycle with input from Product, Engineering, R&D, and Security teams.

Qualifications

  • 5+ years of experience in cybersecurity or related fields.
  • Practical experience with AI/ML technologies.
  • Strong understanding of AI/ML security risks, vulnerabilities, and attack techniques.
  • Experience with security engineering, threat modeling, vulnerability research, or security operations.
  • Programming/scripting in Python; Bachelor's degree in a STEM field.

Responsibilities

  • Research emerging cybersecurity threats and vulnerabilities affecting AI/ML technologies.
  • Conduct security assessments, threat modeling, and testing across AI/ML systems and applications.
  • Develop security controls, detection capabilities, and mitigations for AI-driven environments.
  • Work closely with Product, Engineering, and R&D teams to embed security throughout the AI development lifecycle.
  • Produce technical research, documentation, and recommendations around AI security.

Skills

AI/ML security
Threat modeling
Python scripting
Cybersecurity
Security operations

Education

Bachelor's Degree in STEM

Job description

Franklin Fitch is seeking an experienced AI Security Engineer to join a global cybersecurity technology company expanding its AI and security capabilities. The role requires addressing threats across AI/ML technologies and collaborating with cross-functional teams.

You will research threats, perform threat modeling, and develop AI security controls, while supporting the AI development lifecycle with input from Product, Engineering, R&D, and Security teams.

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