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Sr. Staff Software Engineer @ Meta | Building AI Agents & Products
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Doctor of Philosophy (PhD), Physics
January 1, 2012 – January 1, 2017
University of Science and Technology of China
Bachelor of Science (BS), Physics
January 1, 2008 – January 1, 2012
Meta
Senior Staff Software Engineer
February 1, 2024 – Present
Meta
Staff Software Engineer
August 1, 2022 – March 1, 2024
Meta
Senior Software Engineer
March 1, 2021 – August 1, 2022
Meta
Software Engineer
January 1, 2019 – March 1, 2021
Adobe
Machine Learning Scientist / Data Scientist
May 1, 2017 – January 1, 2019
San Jose
Stanford University
Graduate Research Assistant
September 1, 2012 – June 1, 2017
Stanford, CA
SLAC National Accelerator Laboratory
Research Assistant
August 1, 2012 – June 1, 2017
2575 Sand Hill Road, Menlo Park, CA 94025
CERN
Research Assistant
August 1, 2012 – June 1, 2017
Geneva, Switzerland
Cultural Fit Analysis
The candidate's background is heavily skewed towards Software Engineering, Machine Learning Engineering, and Research Scientist roles, with a strong focus on AI/ML development and deployment. While there is a 'Data Scientist' role at Adobe, the overall profile is more aligned with a Machine Learning Engineer or Applied Scientist rather than a pure Data Analyst. The target role 'Data Analyst' typically emphasizes data extraction, transformation, visualization, and reporting, which are not explicitly highlighted in the candidate's extensive experience descriptions. This suggests a potential mismatch with the target role's core responsibilities, although the analytical foundation is strong. The candidate's experience is primarily in large tech companies (Meta, Adobe) and academic research (Stanford, CERN), indicating a fit for structured, research-driven environments.
Soft Skills & Operational Fit
The candidate's career progression from Software Engineer to Senior Staff Software Engineer at Meta, coupled with a PhD from Stanford, suggests strong drive, analytical thinking, and problem-solving skills. Experience in cross-functional areas like ads fairness and privacy indicates an ability to navigate complex operational constraints and ethical considerations. However, without specific psychometric test results or interview data, a detailed assessment of soft skills like teamwork, leadership, and stress handling is not possible.