What are the responsibilities and job description for the Machine Learning Engineering Manager, Trust & Safety position at Anthropic?
About the role
Anthropic is seeking an ML Engineering Manager to lead an Applied ML team in our Trust & Safety organization. This role bridges trust & safety expertise with applied machine learning to protect and enhance our AI services. You'll lead a team that develops AI-driven detection models for identifying misuse while implementing practical safety measurements. Working closely with policy and enforcement teams, you'll translate complex ML capabilities into effective protective measures that ensure our products remain both safe and accessible. This position combines strategic oversight of trust & safety operations with hands-on guidance of ML applications, making it crucial for maintaining the integrity and responsible deployment of Anthropic's AI services.
Responsibilities:
- Set team vision and roadmap to detect and prevent harmful usage of Anthropic's AI services through applied machine learning solutions
- Lead a team of ML and software engineers to translate complex AI capabilities into practical safety mechanisms, with qualitative and quantitative harm measurement
- Partner with T&S Product, Policy, and Enforcement teams to identify risk vectors and implement ML-driven detection and enforcement actions
- Maintain a deep understanding of both AI safety research and trust & safety best practices
- Drive major collaborations between research and policy teams across Anthropic
- Hire, support, and develop team members through continuous feedback, career coaching, and people management practices
You may be a good fit if you:
- Have 5 years of management experience in a technical ML-focused environment
- Have 5 years of experience in trust & safety or anti-fraud/risk engineering, with a focus on applied Machine Learning.
- Have deep experience with techniques for detecting harmful content and platform misuse
- Demonstrated ability to lead and manage high-performing technical teams
- Show excellent communication skills in translating complex technical concepts for various audiences
- Possess strong project management skills with the ability to balance multiple priorities
- Have experience managing teams through periods of rapid growth and change
Strong candidates may also:
- Have experience working with or managing teams focused on applied machine learning
- Possess knowledge of common internet threats and evolving adversarial techniques
- Excel at building strong relationships with stakeholders at all levels
- Have experience implementing AI-driven safety measures in production environments
- Demonstrate passion for ensuring the responsible development and deployment of AI systems and products
At Anthropic, we value diversity and are committed to creating an inclusive environment for all employees. We encourage applications from candidates of all backgrounds.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
