Anthropic
Privacy Research Engineer
Not specifiedunknownUSD 320,000–485,000
Skills
Experience working on privacy-preserving machine learningStrong 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 trainedHave experience working with privacy-preserving techniques (e.g., differential privacy and how it is different from k-anonymity, l-diversity, and t-closeness)
About the role
Privacy Research Engineer, Safeguards About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for researchers to help mitigate the risks that come with building AI systems. One of these risks is the potential for models to interact with private user data. In this role, you'll design and implement privacy-preserving techniques, audit our current techniques, and set the direction for how Anthropic handles privacy more broadly. Responsibilities: - Lead our 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
Applying with JobFu tracks this in your pipeline automatically.
Free AI résumé tailoring, interview prep, and matches across 40+ countries.