Research Engineer, Domain Scaling

Anthropic is hiring a Research Engineer for our Domain Scaling team in the US. This is a full-time position based on-site at our office.

About the Role

You'll work within Anthropic's Domain Scaling team, contributing to our mission of building reliable, interpretable, and steerable AI systems. This role sits at the intersection of research and engineering, where you'll tackle technical challenges that enable AI models to perform effectively across diverse domains and applications.

What You'll Do

• Design and implement experiments to evaluate how AI models generalize and scale across different problem domains
• Develop methods and infrastructure to test and improve model robustness in domain-specific contexts
• Collaborate with research scientists and engineers to translate research insights into practical systems
• Contribute to technical publications and share findings with the broader AI research community
• Participate in code reviews and engineering best practices to maintain high-quality research infrastructure
• Help identify and solve technical bottlenecks that arise during research experimentation

What We're Looking For

• Strong foundation in machine learning, deep learning, or a related field
• Proficiency in Python and experience building machine learning systems
• Familiarity with modern ML frameworks and tools
• Ability to work effectively in a collaborative research environment
• Experience translating research concepts into working code
• Genuine interest in AI safety and developing beneficial AI systems

About Anthropic

Anthropic is a team of researchers, engineers, policy experts, and business leaders growing rapidly together. We're committed to ensuring AI systems are safe, beneficial, and aligned with human values.

How to Apply

To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.