Job Description
ISE is anticipating the need to hire an Embedded AI Content Security Engineer in the future to partner with the team at select clients in the media and entertainment industry. This role is particularly focused on AI and machine learning security, though responsibilities extend across the technology stack, including infrastructure and application security. The term "embedded" refers to the collaborative, integrated nature of the work, not embedded systems or IoT devices. What you'll do at ISE: Act as a subject matter expert on AI security, advising internal teams and external partners on best practices related to AI/ML technologies Stay ahead of emerging trends in AI threats, particularly those relevant to media and entertainment workflows Lead initiatives to build and enhance offensive testing capabilities for both AI and non-AI applications Conduct in-depth technical assessments of AI-enabled systems and deliver actionable insights to technical and non-technical stakeholders Support broader security reviews, including infrastructure (on-prem and cloud), appli-cations, content editing/transfer platforms, and media workflows. Publish secure configuration guidance and work with vendors to assess and improve their content protection strategies. Dedicate 50%-100% of time per week to one large client Travel to the Los Angeles, CA area on a regular basis: once every one or two months What you bring to the table: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master's degree preferred) 7+ years of experience in cybersecurity, preferably with a focus on offensive security and technical assessments Demonstrated experience designing and securing infrastructure and cloud-native applications Proficiency with major cloud platforms (AWS, Azure, GCP), especially with