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Engineering Manager, Machine Learning at Plaid
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 New Haven
Master of Science (M.S.), Data Science
January 1, 2016 – January 1, 2017
University of Michigan
Bachelor of Science (B.S.), Mechanical Engineering
January 1, 2011 – January 1, 2015
Plaid
Engineering Manager, Machine Learning
March 1, 2026 – Present
San Francisco, California, United States
Engineering Manager, Machine Learning
October 1, 2024 – March 1, 2026
Sunnyvale, CA
Staff Software Engineer, Machine Learning
September 1, 2023 – October 1, 2024
Sunnyvale, CA
Senior Software Engineer, Machine Learning
September 1, 2020 – September 1, 2023
Sunnyvale, CA
Software Engineer, Machine Learning
July 1, 2018 – September 1, 2020
Sunnyvale, CA
Vidora
Software Engineer, Machine Learning
May 1, 2017 – June 1, 2018
Vidora
Machine Learning Intern
March 1, 2017 – May 1, 2017
MHC Engineers, Inc.
Associate Engineer
June 1, 2015 – August 1, 2016
San Francisco, CA
The City and County of San Francisco Department of Building Inspection
Engineering Intern
May 1, 2014 – August 1, 2014
San Francisco, CA
University of Michigan
Research Assistant
January 1, 2013 – December 1, 2014
Ann Arbor, Michigan, United States
Mechanical Continuous Positive Airway Pressure Device
January 1, 2015 – May 1, 2015
Worked with three other students on designing and building a Mechanical Continuous Positive Airway Pressure Device used to treat Sleep Apnea. This CPAP device would require no outside energy sources and be powered solely by the users natural breathing pattern. Compared to currently available CPAP devices, the Mechanical CPAP device created by our team was significantly smaller, lighter, quieter, and cheaper while attempting to maintain full functionality.
Cultural Fit Analysis
The candidate has a strong background in ML engineering and management, which aligns well with a senior ML Engineer role. However, the project experience is limited to one academic project in mechanical engineering, and the early career was in mechanical engineering. While the later career is highly relevant, the overall breadth of projects and early career path might indicate a slightly different cultural background than a pure software engineering trajectory. The target role is ML Engineer, and the candidate has significant experience in this domain, including management, which could be an asset or a slight misalignment depending on the specific team structure.
Soft Skills & Operational Fit
The candidate's progression to Engineering Manager roles suggests strong leadership, project management, and team collaboration skills. The description of leading a team for early fake account detection indicates an ability to manage complex, high-stakes technical initiatives. The project on a Mechanical CPAP device also shows problem-solving and innovation.