Machine Learning Engineering Manager

Job Description

Job Title: Machine Learning Engineering Manager, Safeguards. Location: San Francisco, CA

Responsibilities:

• Define and execute a vision for safeguarding Anthropic's AI systems through machine learning-based detection and enforcement.
• Lead and mentor a team of ML and software engineers in building scalable, protective AI technologies.
• Design and deploy solutions to identify harmful usage and measure real-world harms, both qualitatively and quantitatively;
• Collaborate with Product, Policy, and Enforcement stakeholders to define risk vectors and respond to evolving adversarial threats.
• Drive interdisciplinary collaborations across research, engineering, and policy to align on safety objectives;
• Foster team development through coaching, feedback, and best practices in technical management.

Qualifications:

• 5+ years of experience leading technical teams in ML-intensive environments.
• 5+ years of hands-on work in trust & safety, risk detection, or anti-fraud systems involving applied ML.
• Deep familiarity with adversarial content detection and misuse prevention;
• Strong communication skills to convey complex ML safety strategies to diverse audiences;
• Proven ability to manage cross-functional initiatives and balance multiple priorities.

Preferred:

• Experience deploying ML models for platform safety in production environments.
• Knowledge of emerging adversarial techniques and online threat vectors;
• Passion for building responsible and beneficial AI systems;
• Experience leading teams during high growth and organizational change.

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Benefits and Information:

• Salary: $340,000 - $425,000 USD (annual)
• Work Arrangement: Hybrid, with at least 25% on-site presence in our San Francisco office
• Visa Sponsorship: Available (case-by-case basis, with dedicated immigration legal support);
• Application Review: Rolling basis — no fixed deadline;
• Anthropic is committed to inclusive hiring practices and encourages candidates from all backgrounds to apply.