Intern - Homomorphic Compiler

Zama is hiring!


Zama's mission is to bring end-to-end encryption to AI. Using their homomorphic inference platform, companies can process their customer's data without seeing it, thereby preventing data breaches and surveillance.

Zama's solution is based on a breakthrough in homomorphic encryption, which enables evaluating deep neural networks over encrypted data, without changing anything to the network architecture. Zama is open-source by design, as they believe privacy-enabling technologies should benefit the widest possible community of developers and researchers.

Zama's cofounders are Dr Pascal Paillier, one of the most renowned cryptography researcher, and Dr Rand Hindi, a serial entrepreneur who formerly founded Snips.

Job Description

The AI Framework team is building an open source framework for homomorphic machine learning. The product your team is developing is a compiler which takes the DAG (directed acyclic graph) of a neural network --- or later, of any program --- and transforms it into a fully homomorphic equivalent, with a tunable and small accuracy loss. The main use of the compiler is to convert neural networks into equivalent homomorphic programs operating on end-to-end encrypted data, that can run on insecure servers while maintaining total user privacy. Like the other products of the company, our compiler will eventually go open-source. The main challenges to overcome here are 1) reaching good performances, 2) ensuring a small accuracy loss and 3) not compromising on security.

Zama offers an internship consisting in using our compiler and developing ready-for-use demos of its capabilities. More precisely, the intern will find interesting machine learning applications of neural networks where data privacy is a definite plus and prepare full demos of these neural networks both in the cleartext domain and in their converted form (full self-contained scripts, tutorials, technical explanations, benchmarks). Most likely --- and because building a fully-automated fully homomorphic encryption (FHE) compiler has never been done before ---, this process will end up finding limits or bugs in the compiler: then --- and it may be one of the most exciting parts ---, the intern will be invited to contribute actively to the development of the compiler itself, to fix or find workarounds to overcome the identified issues.

This internship is a unique occasion to work on an experimental tool that has never been done, and to create really exciting demos to show what Zama's technology is capable of. It is also a way to work with some of the best experts in FHE. Ultimately, the candidate will improve her/his knowledge and understanding of machine learning and applied cryptography. Depending on how the internship moves forward, it may be possible to contribute more to the development of the compiler as appropriate.

Preferred Experience

  • Development experience (either in languages like C/C++/Rust or scripts) is highly desired
  • Experience in deep learning is highly desired
  • Passion and willingness to learn
  • Hacker-style personality, i.e., being able to find solutions and/or workarounds to issues that one may find in Zama's or third party (e.g., ML frameworks) tools
  • Optionally: experience with FHE or applied cryptography
  • Being passionate about privacy and open source

Recruitment Process

Our process is described in detail here:

Additional Information

  • Contract Type: Internship
  • Location: Paris, France (75002)
  • Education Level: Master's Degree
  • Possible partial remote