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Applied Scientist at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Personal site : https://by-liu.github.io I'm an AI researcher and engineer with both academia and industry experiences. My major background covers the areas of deep learning, computer vision and recommendation.
University of Chinese Academy of Sciences
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2010 – January 1, 2015
Zhejiang University
Bachelor’s Degree, Information Science and Electronic Engineering
January 1, 2006 – January 1, 2010
Amazon
Applied Scientist
March 1, 2023 – Present
Vancouver, British Columbia, Canada
École de technologie supérieure (ÉTS)
Research Associate
November 1, 2020 – March 1, 2023
Montreal, Quebec, Canada
Hangzhou Qunhe Information Technology Co., Ltd.
Algorithm Expert
May 1, 2018 – March 1, 2020
Hangzhou, Zhejiang, China
Beijing Qifutong Technology, Co., Ltd.
Machine Learning Engineer
August 1, 2017 – April 1, 2018
Beijing, China
Alibaba Group
Algorithm Engineer Ⅱ
April 1, 2016 – July 1, 2017
Hangzhou-Shaoxing Metropolitan Area
Huawei
Engineer of Big Data Products
July 1, 2015 – April 1, 2016
Greater Nanjing Area
Cultural Fit Analysis
The candidate has worked in diverse environments including academia (ÉTS), large tech companies (Amazon, Alibaba, Huawei), and startups (Hangzhou Qunhe, Beijing Qifutong). This breadth of experience suggests adaptability. The focus on research and development, coupled with product delivery, aligns well with an ML Engineer role that often requires both innovation and practical implementation. However, the lack of detailed project descriptions makes it difficult to assess specific cultural contributions or preferences.
Soft Skills & Operational Fit
The candidate's resume descriptions highlight participation in team efforts and translation of research prototypes into commercial platforms, suggesting collaboration and practical application skills. However, without specific project details or behavioral assessment data, a comprehensive evaluation of soft skills and operational fit is limited.