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Machine Learning Engineer at Airbnb (ex-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
Purdue University
Master's Degree, Computer Science
January 1, 2011 – January 1, 2014
Airbnb
Senior Machine Learning Engineer
June 1, 2023 – Present
San Francisco Bay Area · Remote
Meta
Senior Software Engineer, Machine Learning
March 1, 2020 – June 1, 2023
Menlo Park, California, United States
Capital One
Senior Machine Learning Engineer
July 1, 2017 – March 1, 2020
Purdue University
Graduate Research and Teaching Assistant
August 1, 2016 – March 1, 2017
West Lafayette IN
Apple
Software Engineer Intern
May 1, 2016 – August 1, 2016
San Francisco Bay Area
Purdue University
Graduate Teaching Assistant
January 1, 2016 – May 1, 2016
Purdue University
Graduate Research and Teaching Assistant
August 1, 2015 – December 1, 2015
SpaceTime Insight
Advanced Application Developer Intern
May 1, 2015 – August 1, 2015
San Mateo
Purdue University, Compute Science Department
Research & Teaching Assistant
August 1, 2013 – May 1, 2015
West Lafayette, IN
Purdue University, Mathematics Department
Software Developer (part-time)
May 1, 2012 – May 1, 2013
Purdue University, Mathematics Department
Research Assistant
January 1, 2011 – May 1, 2012
Java sample code
February 1, 2015 – Present
Finding the longest palindrome in a given sequence in linear time using suffix trees
Cultural Fit Analysis
The candidate's diverse experience across academia and industry, including roles at major tech companies (Apple, Airbnb, Meta) and financial institutions (Capital One), suggests adaptability and a broad understanding of different organizational cultures. Their involvement in research and teaching, alongside practical application in industry, indicates a continuous learning mindset. The project descriptions, though brief, show initiative in personal projects and a focus on complex algorithmic problems. The transition from Machine Learning Engineer to a Data Analyst target role suggests a potential interest in leveraging their analytical skills in a more focused data interpretation and reporting capacity.
Soft Skills & Operational Fit
The candidate's experience as a Graduate Research and Teaching Assistant at Purdue University suggests strong communication and collaboration skills. Their roles in developing algorithms for statistical modeling and analyzing leukemia data, as well as designing and implementing backend systems, indicate problem-solving abilities and a structured approach to complex tasks. The description of customizing WaveMaker Studio and resolving security risks also points to attention to detail and operational awareness.