Backend Engineer - Model Training Infra (Singapore)
Summary
Build and scale the ML infrastructure that trains and serves ranking models for ads, search, and feeds using C/C++/CUDA/Python and frameworks like TensorFlow/PyTorch.
Responsibilities
About The Team The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & e-commerce ranking in our company. We also drive substantial impact on core businesses of the company. Responsibilities - Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models. - Responsible for improving use-ability and flexibility of the machine learning infrastructure. - Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems. - Responsible for designing and developing key components of ML infrastructure and mentoring interns.
Qualifications
Minimum Qualifications - At least 5 years of experience in developing and deploying large-scale systems. - Proficient in C/C++/CUDA/Python, and have solid programming skills. - Familiar with deep learning frameworks (TensorFlow/Pytorch). - Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax). Preferred Qualifications: - Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).
About The Team The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & e-commerce ranking in our company. We also drive substantial impact on core businesses of the company. Responsibilities - Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models. - Responsible for improving use-ability and flexibility of the machine learning infrastructure. - Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems. - Responsible for designing and developing key components of ML infrastructure and mentoring interns.
Qualifications
Minimum Qualifications - At least 5 years of experience in developing and deploying large-scale systems. - Proficient in C/C++/CUDA/Python, and have solid programming skills. - Familiar with deep learning frameworks (TensorFlow/Pytorch). - Experience on improving core machine learning infrastructure(TensorFlow, Pytorch, and Jax). Preferred Qualifications: - Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch).