Security Engineer, Trust & Safety - Applied AI

What you'll do

• Architect Trust & Safety capabilities and evaluation infrastructure for AI-driven solutions.
• Develop methodologies to improve models on complex abuse problems, including campaign-scale abuse and policy interpretation.
• Lead cross-organizational technical work, mentor engineers, and share findings through publications and community contributions.

What they ask for

• B.S. or M.S. in Computer Science, Cybersecurity, or a related field, or equivalent experience; alternatively, PhD plus 2 years of hands-on engineering experience.
• 5+ years of hands-on engineering experience in Trust & Safety, integrity, fraud and abuse, or security investigations.
• Demonstrated depth in at least one listed abuse domain and experience building detection, enforcement, or evaluation systems in an abuse domain.
• Experience analyzing large-scale data, including relational databases and SQL, and coding in PHP, Python, Java, or a similar language.

Nice to have

• Experience adversarially testing conversational or agentic systems, or improving AI model performance through expert feedback, red-teaming, or evaluation design.
• Contributions to the Trust & Safety or security community, such as research, tools, presentations, or publications.

Pay

$154,000/year to $217,000/year (base salary); bonus + equity (amount not stated)

Tools

SQL, PHP, Python, Java

AI focus

Use AI tools and agents, design evaluations, and improve AI models’ ability to address Trust & Safety abuse problems; includes adversarial testing and responsible AI practices.