ML Systems Engineer – Distributed Training & Inference

An advanced AI foundation team is seeking a skilled individual to develop and maintain machine learning systems. In this role, you'll engage in heterogeneous computing architecture and contribute to distributed task scheduling and optimization projects. The ideal candidate will possess a Master's degree in distributed computing, familiarity with machine learning algorithms, and programming expertise in C/C++, Go, or Python. This position offers a competitive salary range of $129,960 - $246,240 annually, alongside comprehensive benefits. #J-18808-Ljbffr