Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Research Engineer at Duolingo
A passionate software developer who embraces open source technologies. Worked at Meta as a Research Engineer to enable photorealistic telepresence in virtual reality. Worked at Appier as a Machine Learning Scientist to develope machine learning and data pipeline systems on the Apache Spark platform using Scala and Python. Have experience in deep learning, virtual reality, and natural language processing. Interned at Microsoft, IBM, and Google for software engineering projects. Contributed to various open source projects using a variety of technologies. (Python, C++, Scala, Go, Node.js, VimL, Hugo)
Carnegie Mellon University
Master of Science - MS, Language Technologies
January 1, 2018 – January 1, 2020
National Taiwan University
Master of Science - MS, Computer Science and Information Engineering
January 1, 2013 – January 1, 2015
National Chiao Tung University
Bachelor of Science - BS, Computer Science
January 1, 2009 – January 1, 2013
Duolingo
AI Research Engineer
November 1, 2022 – Present
Pittsburgh, Pennsylvania, United States · Hybrid
Meta
Research Engineer
September 1, 2020 – November 1, 2022
Pittsburgh, Pennsylvania, United States · Hybrid
Carnegie Mellon University
Graduate Research Assistant
October 1, 2018 – August 1, 2020
Pittsburgh, Pennsylvania, United States
Appier
Machine Learning Scientist
August 1, 2015 – April 1, 2018
Taipei City, Taipei City, Taiwan · On-site
Microsoft
SDE Intern
June 1, 2014 – September 1, 2014
Bellevue, Washington, United States
IBM
Intern
July 1, 2013 – August 1, 2013
Taipei City, Taipei City, Taiwan
Software Engineering Intern
July 1, 2011 – September 1, 2011
Taipei City, Taipei City, Taiwan
Triplebyte Certified Generalist Software Engineer
Triplebyte
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked in diverse environments, from large corporations (Meta, Microsoft, Google) to specialized AI companies (Duolingo, Appier) and academic research (CMU). This breadth of experience suggests adaptability to different organizational cultures. The focus on cutting-edge AI/ML research aligns well with an innovative and technically driven culture. However, the lack of explicit project descriptions for personal projects or community involvement makes it difficult to assess broader cultural contributions beyond technical roles.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on research and development in AI/ML, suggesting a problem-solving mindset and adaptability. The descriptions of improving system performance and investigating new methods point to a proactive and results-oriented approach. However, without specific psychometric or English test scores, a detailed assessment of communication, teamwork, and stress handling is not possible.