ML Engineering Manager - Trust & Safety

Anthropic, a pioneering AI research company focused on creating reliable and safe AI systems, is seeking an ML Engineering Manager to lead their Trust & Safety organization. This role represents a unique opportunity to shape the future of AI safety and responsible deployment.

The position combines strategic leadership with hands-on technical expertise in machine learning, requiring a deep understanding of both AI safety research and trust & safety best practices. As the ML Engineering Manager, you'll lead a team developing AI-driven detection models and implementing practical safety measurements to protect and enhance Anthropic's AI services.

The role demands 5+ years of management experience in ML-focused environments and extensive experience in trust & safety or anti-fraud engineering. You'll work at the intersection of policy and technology, translating complex ML capabilities into effective protective measures while ensuring Anthropic's products remain both safe and accessible.

Anthropic offers a competitive compensation package ranging from $340,000 to $425,000 USD, along with benefits including flexible working hours, generous vacation and parental leave, and visa sponsorship opportunities. The position is based in San Francisco with a hybrid work arrangement requiring at least 25% office presence.

The company operates as a public benefit corporation and values diversity and inclusion, encouraging applications from candidates of all backgrounds. They approach AI research as an empirical science, working as a cohesive team on large-scale research efforts rather than smaller, specific puzzles.

This role is perfect for someone passionate about ensuring the responsible development of AI systems, with strong leadership abilities and excellent communication skills. You'll have the opportunity to work on cutting-edge AI technology while contributing to the important mission of making AI systems safe and beneficial for society.

The collaborative environment at Anthropic, combined with their focus on high-impact research and development, makes this an exceptional opportunity for someone looking to make a significant contribution to the field of AI safety and trust & safety engineering.