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 and resource management for the multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns; Support the production of scalable and optimised AI/machine learning (ML) models; Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
Requirements:
B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions; Proficient in C/C++/Python, and have solid programming skills; Familiar with deep learning frameworks (TensorFlow/Pytorch); Experience in developing and deploying large-scale systems
Text:
Machine Learning Engineer, TikTok Machine Learning Infrastructure 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 and resource management for the multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns; Support the production of scalable and optimised AI/machine learning (ML) models; Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions; Proficient in C/C++/Python, and have solid programming skills; Familiar with deep learning frameworks (TensorFlow/Pytorch); Experience in developing and deploying large-scale systems
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