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Machine Learning Researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning researcher
Binghamton University
Doctor of Philosophy (Ph.D), Computer Science
January 1, 2012 – January 1, 2017
Chinese Academy of Sciences
Master of Engineering (discontinued), Electrical Engineering
January 1, 2010 – January 1, 2012
University of Science and Technology of China
Bachelor of Engineering (B.Eng.), Electronic Engineering and Information Science
January 1, 2006 – January 1, 2010
Google DeepMind
Senior Staff Scientist
June 1, 2026 – Present
Mountain View, California, United States · On-site
Apple
Research Manager
October 1, 2022 – June 1, 2026
Apple
Staff Research Scientist
September 1, 2021 – June 1, 2026
Apple
Senior Research Scientist
June 1, 2017 – September 1, 2021
IBM T.J. Watson Research Center
Research Intern
May 1, 2016 – February 1, 2017
Yorktown Heights
Microsoft
Data Scientist Intern
June 1, 2015 – August 1, 2015
Sunnyvale
Cultural Fit Analysis
The candidate's background is heavily skewed towards advanced research and development in Machine Learning and AI, with roles at Google DeepMind and Apple. While this demonstrates a high level of technical expertise and innovation, the target role is 'Data Analyst'. This represents a significant mismatch in focus. A Data Analyst role typically requires strong skills in data manipulation, statistical analysis, reporting, and business intelligence, which are not explicitly highlighted in the candidate's research-heavy experience. The breadth of skills is deep in ML/AI but narrow for a general data analyst role, potentially indicating a poor cultural fit for a standard data analysis team.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Research Manager) and contributions to core product features (FaceID), suggesting strong problem-solving, innovation, and potentially good team collaboration skills. However, without specific project details or behavioral assessments, it's difficult to fully assess operational fit and soft skills beyond what can be inferred from their senior research roles.