Machine Learning Engineer - Inference

About the role

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 - Inference 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

Requirements Minimum Qualifications: - At least 3 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.

See the posting on ByteDance's site