About the job
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
Qualifications
Minimum
- 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.
Preferred
No preferred qualifications listed.