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 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 our users to ensure responsible handling of all data You may be a good fit if you have 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 with privacy-preserving techniques (e.g., differential privacy and how it differs from k-anonymity, l-diversity, and t-closeness) 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 Strong candidates may also Have published papers on privacy-preserving ML at top academic venues Prior experience training large language models (e.g., data collection, pre-training, post-training via fine-tuning and RL, evaluations) Prior experience developing tooling to support privacy-preserving ML (e.g., differential privacy in TF-Privacy or Opacus) Compensation The base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation. $320,000 - $485,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We sponsor visas. If we make you an offer, we will make reasonable efforts to obtain a visa, and we retain an immigration lawyer to assist. Equal Employment Opportunity Anthropic does not discriminate on the basis of any protected group status under any applicable law. We encourage applicants to apply even if they do not meet every listed qualification.

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