The AI Framework team is building an open source framework for homomorphic machine learning. The product your team will design, develop, test and maintain aims to take any DAG (directed acyclic graph) —- or later, any program —- and to transform it into a fully homomorphic equivalent, with tunable and small accuracy loss. Notably, a first usage will be to convert neural networks into end-to-end encrypted equivalent programs, which can virtually run on an insecure server while maintaining user’s privacy. In this manner, the product has strong relations with compilers or code-to-code translators. Challenges are about having good performance, small accuracy loss and no compromise on security at the same time.
Your team (and thus you) will be responsible for:
Our process is described in detail here: https://zama.ai/2020/04/28/how-we-hire-at-zama/
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