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Privacy Research Engineer, Safeguards

seniorSan Francisco, CA, ENScore undefined/1002w ago
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📊 AI / ML / DS: salaries and demand on the market
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pythonpytorch
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Description
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 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 the
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