Ever wanted to join a vibrant young start-up? To tangibly change the world for the better?
Oblivious builds privacy-enhancing technologies to help organisations unlock insights from sensitive data. We are recruiting an Algorithms Engineer to design and implement the core components of our differential privacy (DP) systems, including our Private Python runtime, DP-SQL engine, and synthetic data generator.
This role requires translating mathematical theory into production-ready code. You will work on the fundamental challenges of making rigorous privacy guarantees practical and efficient.
Who We Are:
Oblivious is a start-up focused on enabling secure data collaboration through privacy-enhancing technologies. We were founded by two former PhDs in machine learning and cryptography from the University of Oxford who are on a mission to make privacy-preserving technologies the new norm across the industry. We are backed by some of the most well-respected VCs in Europe and the US, and we are putting together a core product and development team. You will get to build platforms that are leveraged by the largest financial institutions and telecoms companies in the world.
