Machine Learning Engineer-Model Training Infrastructure (AML-Engine)

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us. 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 MachineLearningEngineer - Model Training Infrastructure to join our team to support and advance that mission. Responsibilities: * Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models. * Responsible for improving use-ability and flexibility of the machine learning infrastructure. * Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems. * Responsible for designing and developing key components of ML infrastructure and mentoring interns. Job requirements * Proficient in C/C++/CUDA/Python, and have solid programming skills. * Familiar with deep learning frameworks (TensorFlow/Pytorch). * Experience in developing and deploying large-scale systems. * Ability to work independently and complete projects from beginning to end and in a timely manner. * Good communication and teamwork skills to clearly communicate technical concepts with other teammates. * Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax).