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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
7+ years of work experience in machine learning. Experienced programmer. 15+ publications and patents. Currently working on on-device Automatic Speech Recognition (ASR), Text to Speech (TTS) and Large Language Models (LLMs).
Virginia Tech
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering
January 1, 2012 – January 1, 2017
Zhejiang University
Bachelor’s Degree, Electrical and Electronics Engineering
January 1, 2008 – January 1, 2012
Meta
Machine Learning Engineer
January 1, 2025 – Present
Menlo Park, California, United States · On-site
HP
Machine Learning Engineer in Personal Systems
October 1, 2022 – January 1, 2025
HP
Machine Learning Research Scientist in HP Labs
September 1, 2017 – October 1, 2022
Stanford University
Visiting Student Researcher
September 1, 2015 – August 1, 2016
Palo Alto, CA
LogicNets, Inc
Intern
June 1, 2015 – August 1, 2015
Washington D.C. Metro Area
Virginia Polytechnic Institute and State University
Research Assistant
August 1, 2012 – May 1, 2017
Arlington, VA
Georgetown University
Research Assistant
August 1, 2012 – May 1, 2017
Washington D.C. Metro Area
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning Engineering and Research Scientist roles, with a strong focus on audio processing and GenAI. While they have a robust technical background, their experience does not directly align with a 'Data Analyst' target role, which typically emphasizes data manipulation, statistical analysis, visualization, and business intelligence rather than deep learning model development and optimization. The diversity of projects is high within the ML domain, but less so for traditional data analysis tasks. This suggests a potential mismatch for a pure Data Analyst role, though their analytical skills could be transferable.
Soft Skills & Operational Fit
The candidate's resume indicates strong leadership and project management skills through their roles at HP, where they led multiple deep learning projects. Their academic background and research experience suggest strong problem-solving and analytical capabilities. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.