Privacy Research Engineer, Safeguards

• Lead privacy analysis of frontier models, carefully auditing the use of data and ensuring safety throughout the process
• Develop privacy-first training algorithms and techniques
• Develop evaluation and auditing techniques to measure the privacy of training algorithms
• Work with a small, senior team of engineers and researchers to enact a forward-looking privacy policy
• Advocate on behalf of users to ensure responsible handling of all data

This role helps mitigate the risks that come with building AI systems, particularly the potential for models to interact with private user data, ensuring AI is safe and beneficial for users and society as a whole.

• Experience working on privacy-preserving machine learning
• A track record of shipping products and features inside a fast-moving environment
• Strong coding skills in Python and familiarity with ML frameworks like PyTorch or JAX
• Deep familiarity with large language models, how they work, and how they are trained
• Experience working with privacy-preserving techniques (e.g., differential privacy)
• Experience supporting fast-paced startup engineering teams
• Demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space for collaboration
• Annual salary range: $320,000—$485,000 USD

Anthropic is a frontier AI research and product company, with teams working on alignment, policy, and security. We post specific opportunities at Anthropic that we think may be high impact. We do not necessarily recommend working at other positions at Anthropic. You can read concerns about doing harm by working at a frontier AI company in our career review on the topic.