Jiayan Jiang
Computer VisionA lifetime learner
Google
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A lifetime learner
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Software Engineer with a demonstrated history of working in the internet industry. Skilled in Computer Science, Data Science, and Machine Learning. Strong engineering professional with a Ph.D. focused in Computer Science; Vision and Graphics from UCLA.
UCLA
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2007 – January 1, 2011
Fudan University
Bachelor of Science (B.S.), Electronic Engineering
January 1, 2000 – January 1, 2004
Software Engineering Manager, Cloud TPU
November 1, 2022 – Present
Sunnyvale, California, United States
Viaduct
Head of Machine Learning
December 1, 2019 – December 1, 2021
Menlo Park
Tinder, Inc.
Engineering Manager, Machine Learning Engineering
June 1, 2017 – August 1, 2019
Palo Alto, CA
Software Engineer, Research Scientist
August 1, 2011 – June 1, 2017
Menlo Park, CA
Software Engineering Intern
June 1, 2010 – September 1, 2010
Mountain View, CA
Lab of Neural Imaging, UCLA
Research Assistant
August 1, 2007 – September 1, 2011
Los Angeles, CA
Kyushu Institute of Technology
Visiting Researcher
October 1, 2005 – October 1, 2005
Japan
Image and Intelligence Lab, Fudan University
Research Assistant
August 1, 2004 – June 1, 2007
Shanghai City, China
Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)
Coursera Course Certificates
June 24, 2026 – Present
Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, large tech companies (Google, Facebook, Tinder), and a startup (Viaduct). This breadth of experience suggests adaptability to different organizational cultures and stages. Their work on personalized recommendations and connected vehicle platforms indicates an interest in impactful, real-world applications of AI. The target role of Computer Vision aligns well with their Ph.D. research and early career focus, suggesting a strong intrinsic motivation for the domain.
Soft Skills & Operational Fit
The candidate's career progression from Research Assistant to Software Engineering Manager at Google, with leadership roles at Viaduct and Tinder, indicates strong leadership, team-building, and project management skills. Their experience in delivering personalized recommendation features and building AI platforms suggests a results-oriented approach and ability to operate in fast-paced environments. The descriptions of owning platforms like Dataswarm and Search Experimentation platform at Facebook highlight operational ownership and system-level thinking.