Software Engineer, Machine Learning at Facebook
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Pittsburgh
Ph.D., Computer Science
January 1, 2008 – January 1, 2014
Beijing University of Posts and Telecommunications
Bachelor, Information Engineering
January 1, 2004 – January 1, 2008
Software Engineer - Machine Learning
September 1, 2019 – Present
Greater Seattle Area
Software Engineer - Machine Learning
January 1, 2017 – September 1, 2019
New York City Metropolitan Area
IBM
Research Staff Member
October 1, 2014 – November 1, 2016
New York City Metropolitan Area
Educational Testing Service (ETS)
Research Intern
May 1, 2012 – August 1, 2012
Princeton, New Jersey
Bosch North America
Research Intern
May 1, 2011 – August 1, 2011
Pittsburgh, Pennsylvania
Learning Research and Development Center, University of Pittsburgh
Graduate Student Researcher
July 1, 2009 – August 1, 2014
Pittsburgh, Pennsylvania
Human-Computer Speech Interaction Lab, Tsinghua University
Research Assistant
September 1, 2007 – June 1, 2008
Beijing, China
ThinkIT Lab, Institute of Acoustics of Chinese Academy of Science
Summer Intern
July 1, 2007 – August 1, 2007
Beijing, China
Cultural Fit Analysis
The candidate has a strong background in research and development, particularly in Machine Learning and NLP. While this demonstrates a high level of technical capability, the target role is 'Data Analyst'. The candidate's experience is heavily skewed towards ML Engineering and Research, which might indicate a potential mismatch with the day-to-day responsibilities of a typical Data Analyst role, which often focuses more on business intelligence, reporting, and statistical analysis rather than model development. The breadth of projects is good, but the alignment with the specific 'Data Analyst' role is moderate.
Soft Skills & Operational Fit
The candidate's extensive research and industry experience suggest strong analytical and problem-solving skills. The descriptions of past roles indicate an ability to work on complex, data-intensive projects. However, without psychometric test results, specific soft skills like teamwork, stress handling, or work attitude cannot be objectively assessed.