Engineering Manager, Machine Learning at Block
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experience leading teams to solve adversarial challenges through machine learning. Currently working on removing merchant and buyer fraud from the platform at Square. Previously worked on solving platform manipulation, impersonation, and spam on Twitter, and worked to combat credit card fraud at Capital One.
North Carolina State University
Master of Science - MS, Computer Science
January 1, 2003 – January 1, 2005
Visvesvaraya Technological University
Bachelor of Engineering - BE, Computer Science
January 1, 1998 – January 1, 2002
Block
Engineering Manager, Machine Learning
January 1, 2023 – Present
Oakton, Virginia, United States · Remote
Engineering Manager, Machine Learning
January 1, 2022 – January 1, 2023
Oakton, Virginia, United States
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Udacity
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Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on Machine Learning and Data Science, particularly in fraud and platform integrity. While their experience is extensive and impressive, the target role is 'iOS Developer'. There is a significant mismatch between their deep ML/management background and the specific technical requirements of an iOS development role. Their project diversity is high within the ML domain, but not aligned with mobile development. This indicates a low cultural fit for the specified target role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, problem-solving, and strategic thinking skills through their management roles and descriptions of initiating and leading significant projects. Their experience in building and deploying complex ML systems suggests a robust operational fit for roles requiring end-to-end system ownership and team leadership. The descriptions also highlight an ability to innovate and drive technical initiatives.