Recommendation Algorithm Architecture Engineer

Responsibilities

1. Responsible for the design and implementation of the recommendation link and system for life services, including various genres such as POI, products, live broadcast, video, etc., and various traffic scenarios such as life service mall and life service related recommendations 2. Relying on leading recommendation technology and machine learning platform, build a high-concurrency, high-performance, and high-availability online recommendation service framework, continuously optimize system computing power, design and improve the strategy execution framework for sorting at all levels in the recommendation system, optimize efficiency, and reduce costs 3. In line with business needs, together with algorithm engineers, participate in the design and iteration of index construction of various genre data structures in the recommendation system, feature production and use, engineering construction of sample data streams, and support offline and online optimization and iteration of models such as recall/rough sorting/fine sorting/re-ranking.

Qualifications

1. Bachelor degree or above, computer-related majors are preferred 2. Solid programming and algorithm foundation, proficient in at least one programming language such as C/C++, Python, Golang 3. Master Linux development environment and debugging, good data structure design and implementation capabilities, have some algorithm foundation, and understand model algorithms 4. Good at communication, proactive work, strong sense of responsibility, and good teamwork ability 5. Familiar with at least one deep learning framework or recommendation system such as Tensorflow/PyTorch is preferred.