Engineering Manager Machine Learning Infrastructure

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 Engineer Manager - Machine Learning Infrastructure to join our team to support and advance that mission. Responsibilities: * Lead the team to design and implement distributed inference/training/scheduling/ochestration/storage/parameter_server infrastructure for feeds, ads and search ranking models. * Oversee the development of monitoring and management tools to ensure the reliability and scalability of machine learning infra. * Manage the identification and prioritization of system inefficiencies and bottlenecks, leading efforts to enhance system performance. * Lead the team in creating tools to analyze bottlenecks and sources of instability, formulating and implementing effective solutions. * Collaborate with product teams, offering comprehensive solutions tailored to their specific requirements. Job requirements * Experience in leading an engineering team * Experience in developing and deploying large-scale machine learning systems. * Strong sense of responsibility and good at communication and teamwork * Passionate about solving complex and challenging problems