Machine Learning Engineer - AI Compiler Optimization

The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer in AI Compiler Optimization to join our team to support and advance that mission. Responsibilities: - Responsible for building and implementing the compilation optimization system for the recommendation machine learning engine. Design and implement full-stack optimization solutions at the graph, operator, and memory levels specifically for recommendation model scenarios, including but not limited to graph-operator fusion and automatic operator generation, to maximize hardware computing limits. - Collaborate closely with hardware and algorithm teams to carry out hardware-software co-design. Optimize compilation strategies based on hardware characteristics to improve the efficiency of hardware-software synergy. - Responsible for the compilation adaptation of recommendation models from the PyTorch framework to the engine. Optimize the entire process of model import, conversion, and code generation to simplify the model deployment process and enhance development efficiency.