
Software Engineer, Machine Learning at Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PhD in machine learning, passionate on distributed systems, machine learning, deep learning, big data, and beyond.
University of Science and Technology of China
B.S., Chemical Physics
N/A – Present
The University of Kansas
Ph.D, Machine Learning
N/A – Present
Meta
Software Engineer, Machine Learning
January 1, 2024 – Present
Bellevue, Washington, United States · On-site
Square
Software Engineer, Machine Learning
February 1, 2020 – December 1, 2023
Seattle, Washington, United States
Lyft
Software Engineer, Machine Learning
October 1, 2018 – February 1, 2020
Greater Seattle Area
Zillow
Senior Software Engineer, Machine Learning
November 1, 2016 – October 1, 2018
Greater Seattle Area
Microsoft
Software Engineer and Data Scientist
February 1, 2014 – October 1, 2016
Greater Seattle Area
Cultural Fit Analysis
The candidate has worked at several prominent tech companies, suggesting adaptability to diverse corporate cultures. The breadth of experience across different ML domains (forecasting, recommendation, GenAI) indicates a versatile and curious mindset. However, without specific project details or team interaction examples, a deeper cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's resume indicates a strong operational fit due to extensive experience in production environments and infrastructure. Soft skills related to teamwork and stress handling cannot be assessed without psychometric test results or interview data.