
Machine Learning at Snap
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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UCLA
Master’s Degree, Statistics
January 1, 2013 – January 1, 2015
UCLA
Doctor of Philosophy (Ph.D.), Electrical Engineering
January 1, 2010 – January 1, 2015
UCLA
Master of Science (M.S.), Electrical Engineering
January 1, 2009 – January 1, 2010
Zhejiang University
Bachelor, Electrical Engineering
January 1, 2005 – January 1, 2009
Snap Inc.
Senior Manager, Machine Learning / Principal Machine Learning Engineer
June 1, 2024 – Present
Bellevue, WA
Meta
Staff Software Engineer
September 1, 2021 – May 1, 2024
Bellevue, WA
Microsoft
Principal Research SDE @ Microsoft Research
November 1, 2018 – September 1, 2021
Redmond, WA
Microsoft
Senior RSDE, Machine Learning @ Microsoft AI+Research & Cloud+AI
March 1, 2017 – November 1, 2018
Redmond, WA
Walmart Labs
Senior Software Engineer, Machine Learning
January 1, 2016 – March 1, 2017
Sunnyvale, CA
Qualcomm
Interim Intern
June 1, 2013 – September 1, 2013
San Diego, CA
Qualcomm
Interim Intern
June 1, 2012 – September 1, 2012
San Diego, CA
Silvus Technologies, Inc.
Engineering Intern
June 1, 2010 – December 1, 2010
Los Angeles, CA
Cultural Fit Analysis
The candidate has worked at several prominent tech companies known for innovation and fast-paced environments, suggesting adaptability and a drive for impact. The progression through roles from individual contributor to senior management/principal engineer demonstrates ambition and growth. The diverse experience across different domains (monetization, recommendation, conversational AI, sales/marketing AI) indicates a broad interest and ability to apply skills in various contexts, which aligns with a dynamic culture. However, the target role of 'Data Analyst' seems to be a significant step down from their current and past roles as Senior Manager/Principal Machine Learning Engineer, which could indicate a mismatch in expectations or a desire for a different type of work. This discrepancy needs to be explored.
Soft Skills & Operational Fit
The candidate's resume indicates a strong background in leadership and technical management (Senior Manager, Uber TL), suggesting good operational fit and potential for leadership within a data-driven organization. The descriptions of roles at Microsoft and Snap imply collaboration and tech transfer, indicating an ability to work across teams. However, without specific psychometric or communication test results, a detailed assessment of soft skills is limited.