Develop, optimize, and maintain machine learning systems.
Create and maintain a data mining platform for online activities.
Compress and optimize machine learning models to meet the performance requirements of online model services.
Requirements:
Experienced in service development, including proficiency in multi-threaded programming, memory management, design patterns, and the Linux development environment.
Proficient Python, Golang, or Scala, with substantial experience in developing highly concurrent programs.
Familiarity with machine/deep learning theory and hands-on experience in training deep learning models.
Knowledge of machine learning training platforms and workflow management tools, such as Jupyter, Airflow, and MLflow.
Familiarity with common algorithms in computer vision (cv), natural language processing (nlp), recommendation systems, and social networking services (sns) is a plus.
Experience in distributed system projects, including the ability to design and debug complex system software, is a plus.
Understanding of GPU hardware architecture, CUDA proficiency, and extensive optimization experience in deep learning computational frameworks is a plus.
Experience in AI compiler development, familiarity with model compression technology frameworks, and awareness of the latest research progress in this field are advantageous.
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