Security Engineer, Trust & Safety - Applied AI

What you'll do

• Architect Trust & Safety capabilities and evaluation infrastructure for AI-driven solutions.
• Develop strategies and methodologies for abuse problems AI cannot yet reliably reason about, and improve models through expert input and evaluation.
• Lead complex, cross-organizational work, mentor engineers, and share findings through publications and knowledge sharing.

What they ask for

• B.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience.
• 8+ years of hands-on engineering experience in Trust & Safety, integrity, fraud and abuse, or security investigations.
• Deep expertise in at least one listed abuse domain, plus experience building detection, enforcement, or evaluation systems in an abuse domain.
• Experience analyzing large-scale data, coding in PHP, Python, Java, or similar languages, and architecting systems or programs that operate at scale.

Nice to have

• Experience adversarially testing conversational or agentic systems, developing abuse classifiers, or improving AI models through expert feedback, red-teaming, or evaluation design.
• Experience with campaign-level investigation and attribution, age assurance, or contributions to the Trust & Safety or security community.

Pay

$184,000/year to $257,000/year USD base salary

Tools

SQL, PHP, Python, Java

AI focus

Uses AI tools and agents in Trust & Safety work; defines methods and evaluations to improve AI capabilities for abuse detection, policy interpretation, and adversarial testing; applies responsible and ethical AI practices.