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Wenjun Zeng

Machine Learning @ Google Deepmind

Wenjun Zeng is a Software Engineer specializing in Machine Learning at Google DeepMind. He holds a Master of Science degree from the University of Minnesota. His professional background includes significant experience in the field of software engineering, particularly in machine learning applications.

On LinkedIn, he has over 500 connections, indicating a robust professional network. His profile suggests a focus on advanced technologies and contributions to machine learning projects within Google DeepMind.1

Highlights

Mar 2 · linkedin

My friend Si-Chi Chin is looking for a Mid-level Applied Scientist to work on recommender system related projects for Amazon Workforce Intelligence team. Please ping me or email me at 'zengx244 AT umn.edu' if you have interest.

#machinelearning #amazon #hiring #recommendersystem

Job description: As part of the Workforce Intelligence team, the Applied Scientist will work on developing machine learning algorithms for our job recommender system to personalize candidate experience and improve hiring funnel efficiency. Successful candidates will have a deep knowledge of wide range of machine learning techniques, extensive experience in recommender system, the ability to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long term problems.

Feb 13 · linkedin

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Wenjun Zeng
Wenjun Zeng, photo 1
Wenjun Zeng, photo 2
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Location

United States