Job Overview
At our organisation, we develop innovative technologies to unlock insights from sensitive data.
* We are seeking a skilled professional to design and implement differential privacy systems, including private Python runtime and DP-SQL engine.
* The ideal candidate will translate mathematical theory into production-ready code using Python.
We collaborate with cross-functional teams on the deployment of these innovative projects.
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Key Responsibilities
1. Rigorously design privacy-preserving algorithms for applications such as noise mechanisms (Gaussian, Laplace) using static analysis and AST manipulation in Python.