Machine Learning Engineer-Model Serving Infrastructure
$177.69k - $416.1kByteDance
Machine Learning Engineer-Model Serving Infrastructure Machine Learning Engineer-Model Serving Infrastructure 2 weeks ago Be among the first 25 applicants Responsibilities 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
- 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.
- 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.
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
- Exercising sound judgment.
$198.36k - $416.1k
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$168.1k - $227.4k
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