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Staff Machine Learning Engineer at Airbnb
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
My interests are in the areas of machine learning and online&offline model evaluation. Worked extensively on search relevance product, including core search ranking and recommendations, which resulted significant conversion gains. In addition developed systems on experimentation agility, such as Airbnb interleaving experimentation framework and offline ranker interaction detection, which have been empowering the ML team for fast iterations
University of Wisconsin-Milwaukee
PhD, Computer Science
January 1, 2008 – January 1, 2014
Beihang University
Master, Software Engineering
January 1, 2004 – January 1, 2007
Beihang University
Bachelor, Mechanical Engineering
January 1, 2000 – January 1, 2004
Airbnb
Staff Machine Learning Engineer
September 1, 2021 – Present
San Francisco Bay Area
Airbnb
Senior Software Engineer
March 1, 2019 – August 1, 2021
San Francisco Bay Area
Airbnb
Software Engineer
June 1, 2016 – February 1, 2019
San Francisco Bay Area
eBay Inc
Applied Researcher
March 1, 2014 – June 1, 2016
San Francisco Bay Area
University of Massachusetts
Research Assistant
February 1, 2013 – February 1, 2014
Greater Boston
University of Wisconsin Milwaukee
Research Assistant
September 1, 2012 – January 1, 2013
Greater Milwaukee
DataXu
Intern
June 1, 2012 – August 1, 2012
Greater Boston
University of Wisconsin Milwaukee
Research Assistant
January 1, 2012 – June 1, 2012
Greater Milwaukee
NextBio
Intern
July 1, 2011 – November 1, 2011
Santa Clara, CA
University of Wisconsin Milwaukee
Research Assistant
September 1, 2008 – June 1, 2011
Quality Easy Inc. (Beijing, China)
Software Engineer
July 1, 2007 – July 1, 2008
IBM
Intern
July 1, 2006 – November 1, 2006
Beijing, China
Social Network Analysis
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in research and large tech companies (Airbnb, eBay), indicating experience in fast-paced, data-driven environments. The transition from Staff Machine Learning Engineer to a Data Analyst role might represent a shift in focus, but their analytical and ML background aligns with data-centric roles. The breadth of experience across different domains (e-commerce, biomedical, advertising) suggests adaptability. However, the target role 'Data Analyst' is a significant step down from 'Staff Machine Learning Engineer' in terms of typical seniority and scope, which could indicate a potential mismatch in expectations or a desire for a different type of challenge. Without further context, this transition makes cultural fit for a typical senior Data Analyst role less clear.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in developing significant features and frameworks, suggesting strong problem-solving and project ownership skills. Their work on experimentation agility indicates an analytical and data-driven approach. However, specific soft skills like teamwork, communication style, or adaptability are not explicitly detailed in the provided data.