Platform:Encryption researcher

(After you were hired) In recent years, while the use of AI and data has become essential in all industries, there have been increasing challenges such as not being able to prepare enough data for AI to learn, and being unable to build accurate and robust AI models. EAGLYS is researching and developing data security and privacy enhancement technology such as secure computation and federated learning, and AIOps technology, with the aim of further expanding the use of AI and realizing a smarter society where data can be safely linked between companies. We are working on this and are looking for people who will help realize a smart society through the safe use of AI and data. ■About this position From implementation verification using the latest encryption technology centered on fully homomorphic encryption, which is one type of secure computation, to contract development projects for secure computation tailored to clients, secure computation necessary for providing services for our own proprietary secure computation solutions, etc. You will be responsible for research/development/implementation of core technologies. ■Your role Developing secure computing solutions including homomorphic encryption (HE) and Trusted Execution Environment (TEE) - Development of in-house HE library - Algorithm development/implementation for each solution using OSS HE library or in-house HE library - Development of encrypted compiler for AI models using HE - Planning, development, implementation, maintenance, and evaluation verification of new and existing products using HE libraries and TEE - Technology selection, new technology research and development, and product application related to the above (Scope of change) All operations within the company ■Products involved - XI products such as Material Infomatics (MI) and Human Infomatics (HI) - Secret calculation software that allows the use of AI models in a confidential state - Application development utilizing cutting-edge data security and collaboration technologies such as secure computation and federated learning

・Basic knowledge of Machine Learning / Deep Learning (no need to be a professional) ・Numerical processing such as numpy is possible ・Mathematics knowledge that allows you to understand algorithms in the cryptographic domain (you do not need to be an expert) ・Can use compiled languages ​​such as C and Rust ・Basic knowledge of LINUX

- AI knowledge - Cloud knowledge such as AWS, Azure - golang - Knowledge of backend development - Knowledge of DevOps/MLOps etc. - Japanese