Job Description

• Participate in the design, implementation & optimization of large-scale training & inference systems.
• Improve and optimize multiple application methods such as sample management, feature preprocessing, feature management, prediction, and vector based recall.
• Ensure that systems perform reliably under the high load. This includes dealing with (but not limited to) online service, traffic scheduling, disaster tolerance, overload protection, degradation, resource management, efficiency tool implementation and many other infrastructures.

Job Requirements

• Proficiency in C++/Java/golang/python programming
• Solid basic knowledge of networking, operating systems, data structures and compilation principles
• Experience in Tensorflow development & optimization is preferred
• Familiarity with basic machine learning algorithms is preferred
• Masters in Computer Science (with a focus on machine learning) or relevant industry experience

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