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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