Machine Learning Engineer
Current
Oct 2024 - Present
AeroLeads people directory · profile
Qing Ye Email & Phone Number
Machine Learning Engineer
at
Meta
2 work emails found
@google.com
LinkedIn matched
✓ Verified August 2026
4 data sources
Profile completeness 100%
Who is Qing Ye? Overview
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Quick answer
Qing Ye is listed as Machine Learning Engineer at Meta, based in Bellevue, Washington, United States. AeroLeads shows a work email signal at google.com and a matched LinkedIn profile for Qing Ye.
Qing Ye previously worked as Software Engineer at Google and Teaching Assistant at University Of Illinois At Urbana-Champaign. Qing Ye holds Master Of Science - Ms, Computer Science from University Of Illinois Urbana-Champaign.
Company email context
Email format at Meta
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{first_initial}{last}@google.com
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AeroLeads found 2 current-domain work email signals for Qing Ye. Compare company email patterns before reaching out.
Profile bio
About Qing Ye
Qing Ye is a Machine Learning Engineer at Meta. They possess expertise in scientific computing, python, c++, linux, latex and 33 more skills.
Listed skills include Scientific Computing, Python, C++, Linux, and 34 others.
Current workplace
Qing Ye's current company
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9 roles
Qing Ye work experience
A career timeline built from the work history available for this profile.
Software Engineer
May 2023 - Present: Cloud AI Platform* Implemented ReAct based reasoning & tool use serving infrastructure for Cloud Vertex* Implemented embedding based retrieval infrastructureJuly 2019 - May 2023: Indexing Infrastructure* Design, implemented, and owned the computing resource management framework for the indexing clusters* Materialized computation resource savings through automated quota reclamation* Achieved storage system savings through deletion cache
Jun 2019 - Sep 2024
Teaching Assistant
- 2 years of experience in teaching Software Engineering- Lead students in software development iteration meetings; performed code review and provided feedbacks
Aug 2016 - May 2019
Graduate Research Assistant
- Design and implement a caching system based on reinforcement learning to improve hit-rate using Keras and OpenAI Gym- Designed novel protein contact selection algorithm based on non-linear programming to improve protein structure prediction- Pre-processed data for a deep convolutional neural network predicting protein contacts; the work is published on Cell Systems- Collaborated to build a deep neural network for embedding protein structures; the work is published by Bioinformatics
Aug 2016 - May 2019
Software Engineer Intern
- Implemented multi-lingual address annotator for mobile devices with machine learning techniques using tensorflow and C++; trained and validated the annotator using map-reduce- Added various localization supports for a rule-based time and time-span annotator in GMSCore written in C++
May 2017 - Aug 2017
Software Engineering Intern
- Migrated a Google open-source project to implement a phone number annotator in C++ for the Google Mobile Services core library- Designed a web-app for manual inspection of the annotation result; assessed accuracy and performance of the annotator with machine-generated and hand-curated data
May 2016 - Aug 2016
Intern
- Migrated an out-dated Ruby-on-Rails application to a modern configuration; communicate with the users and implemented new features for the application- Collaborated to set-up a data-pipeline from automated test equipment to a MySQL database and an HDFS key-value store on AWS}-
May 2015 - Aug 2015
Undergraduate Researcher, Rienstra Group
- Maintained an outdated NMR analysis software (Sparky) to fix bugs and add new features- Integrated and optimized a software package (COMPASS) written in python and C to perform scientific calculations in protein structure determination- Maintained and documentations for the package on a MediaWiki server- Collected and analyzed data from COMPASS and composed the results using matplotlib and Adobe Illustrator
May 2013 - May 2014
Undergraduate Lab Assistant, Giannetta Group
- Developed a LabView application to operate a signal averager through a GPIB bus- Designed, patterned and etched printed circuit board with micrometer precision by the positive photo process- Monitored NMR experiments, refilled the NMR magnet with liquid nitrogen and compiled documentations for lab activities
May 2013 - Aug 2013
2 education records
Qing Ye education
Master Of Science - Ms, Computer Science
University Of Illinois Urbana-Champaign
Dual Degree, B.S. Computer Science, B.S. Engineering Physics
University Of Illinois Urbana-Champaign
FAQ
Frequently asked questions about Qing Ye
Quick answers generated from the profile data available on this page.
What company does Qing Ye work for?
Qing Ye works for Meta.
What is Qing Ye's role at Meta?
Qing Ye is listed as Machine Learning Engineer at Meta.
What is Qing Ye's email address?
AeroLeads has found 2 work email signals at @google.com for Qing Ye at Meta.
Where is Qing Ye based?
Qing Ye is based in Bellevue, Washington, United States while working with Meta.
What companies has Qing Ye worked for?
Qing Ye has worked for Meta, Google, University Of Illinois At Urbana-Champaign, and Tesla.
How can I contact Qing Ye?
You can use AeroLeads to view verified contact signals for Qing Ye at Meta, including work email, phone, and LinkedIn data when available.
What schools did Qing Ye attend?
Qing Ye holds Master Of Science - Ms, Computer Science from University Of Illinois Urbana-Champaign.
What skills is Qing Ye known for?
Qing Ye is listed with skills including Scientific Computing, Python, C++, Linux, Latex, Mediawiki, Vim, and Bash.
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