Machine Learning Engineer - Model Serving Infrastructure

About ByteDance Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok 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 Machine Learning Engineer - Model Serving Infrastructure to join our team to support and advance that mission. Responsibilities: - Responsible for the design and implementation of distributed inference infrastructure for feeds, ads and search ranking models. - Responsible for building monitoring/managing tools to oversee the reliability and scalability of online inference servers - Responsible for triaging system inefficiency and bottlenecks and improving system performance - Responsible for building tools to analyze bottlenecks and sources of instability and then design and implement solutions - Responsible for collaboration with product teams and providing general solutions to meet their requirements

Minimum Qualifications: - At least 5 years of experience in developing and deploying large-scale systems. - Experience contributing to an open sourced machine learning framework (tensorflow / jax / pytorch / torchscript / mxnet / tensorrt). - Strong background in one of the following fields: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g., GPU/RDMA) or ML for Systems. Preferred Qualifications: - Proficient in C/C++/CUDA, and have solid programming skills. - Familiar with deep learning serving frameworks (TensorFlow Serving/TorchScript). - Experience in GPU performance optimization - 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. ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2