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Machine Learning Engineering Manager at Pinterest
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Leader in machine learning applied science and engineering, with deep expertise in online advertising, recommendation systems, and search technologies.
University of Minnesota
Ph.D., Computer Science
January 1, 2012 – Present
Machine Learning Engineering Manager
December 1, 2025 – Present
Microsoft
Principal Applied Scientist Manager
March 1, 2022 – November 1, 2025
Microsoft
Machine Learning Scientist
July 1, 2015 – March 1, 2022
Microsoft
Program Manager
August 1, 2012 – June 1, 2015
NEC Laboratories America
Research Intern
May 1, 2009 – August 1, 2009
University of Minnesota, Twin Cities
Research Assistant
September 1, 2006 – June 1, 2012
Cultural Fit Analysis
The candidate has a strong background in Machine Learning and Applied Science, which involves data analysis. However, the target role is 'Data Analyst', which is a significant shift from their senior/management roles in ML Engineering and Applied Science. While the underlying skills in data manipulation and interpretation are relevant, the specific focus and scope of a Data Analyst role might not fully align with their extensive experience in advanced ML and research. The lack of specific project details makes it difficult to assess diversity of experience beyond their stated roles.
Soft Skills & Operational Fit
The candidate's career progression into management roles at large tech companies suggests strong leadership, collaboration, and problem-solving skills. However, without specific project details or psychometric test results, a detailed assessment of soft skills and operational fit is limited.