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Yiming Xu Email & Phone Number
Tech lead, ML
at
Snap Inc.
1 work email found
@colostate.edu
2 phones found area 970
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Who is Yiming Xu? Overview
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Quick answer
Yiming Xu is listed as Tech lead, ML at Snap Inc., based in Bellevue, Washington, United States. AeroLeads shows a work email signal at colostate.edu, phone signal with area code 970, and a matched LinkedIn profile for Yiming Xu.
Yiming Xu previously worked as Staff Machine Learning Engineer, Tech Lead at Tiktok and Applied Scientist at Amazon. Yiming Xu holds Doctor Of Philosophy - Phd, Statistics, Deep Learning from Northwestern University.
Company email context
Email format at Snap Inc.
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{first}.{last}@colostate.edu
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Profile bio
About Yiming Xu
With an PhD degree focusing on transfer learning and NLP, my industry experiences include building large-scale recommendation systems (specifically feed ranking, video ranking, search) and applying and developing state-of-the-art NLP and LLM techniques (FT, RM, RLHF, RAG, Agent, etc.) to real-world applications.
Listed skills include Data Analysis, R, Deep Learning, Latex, and 25 others.
Current workplace
Yiming Xu's current company
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8 roles
Yiming Xu work experience
A career timeline built from the work history available for this profile.
May 2024 - Present
Applied Scientist
Applied Scientist at Alexa AI- Building Alexa Large Language Models (LLMs)- Building NLP models to improve data annotator labeling quality and efficiency- Building RAG-based solution for reducing org level OE tasks- Mentored two applied scientists and two PhD interns on NLP and LLMs research, papers accepted in AAAI
May 2022 - May 2024
Research Scientist
- Video recommendation core modeling - develop and improve early & late-stage state-of-the-art video recommendation models.- Improved Facebook user watch time by 10+%- Mentored three ML PhD interns
Feb 2021 - May 2022
Phd Candidate
PhD Candidate in statistics. Thesis in machine learning & deep learning (natural language processing). My advisors are Prof. Diego Klabjan and Prof. Wenxin Jiang.
Oct 2016 - Nov 2020
Teaching Assistant & Research Assistant
Courses I have TA'ed so far: STAT210 Introductory Statistics for the Social Sciences;STAT330 Applied Statistics for Research;STAT348 Applied Multivariate Analysis;STAT352 Nonparametric Statistical Methods;STAT457 Applied Bayesian Inference.
Oct 2016 - Nov 2020
Ml Phd Intern
Interned at Search Ads team where I developed multi-label BERT for query classification with various MTL techniques.
Jun 2020 - Sep 2020
Research Intern
Conducted researches in computer vision and domain adaptation. Finished two papers:Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation (published in EMNLP 2020)Open Set Domain Adaptation with Soft Unknown-Class Rejection (published in T-NNLS)
Jun 2019 - Dec 2019
1 education record
Yiming Xu education
-
Northwestern University
FAQ
Frequently asked questions about Yiming Xu
Quick answers generated from the profile data available on this page.
What company does Yiming Xu work for?
Yiming Xu works for Snap Inc..
What is Yiming Xu's role at Snap Inc.?
Yiming Xu is listed as Tech lead, ML at Snap Inc..
What is Yiming Xu's email address?
AeroLeads has found 1 work email signal at @colostate.edu for Yiming Xu at Snap Inc..
What is Yiming Xu's phone number?
AeroLeads has found 2 phone signal(s) with area code 970 for Yiming Xu at Snap Inc..
Where is Yiming Xu based?
Yiming Xu is based in Bellevue, Washington, United States while working with Snap Inc..
What companies has Yiming Xu worked for?
Yiming Xu has worked for Snap Inc., Tiktok, Amazon, Facebook, and Northwestern University.
How can I contact Yiming Xu?
You can use AeroLeads to view verified contact signals for Yiming Xu at Snap Inc., including work email, phone, and LinkedIn data when available.
What schools did Yiming Xu attend?
Yiming Xu holds Doctor Of Philosophy - Phd, Statistics, Deep Learning from Northwestern University.
What skills is Yiming Xu known for?
Yiming Xu is listed with skills including Data Analysis, R, Deep Learning, Latex, Matlab, Natural Language Processing, Mathematical And Statistical Modeling, and Machine Learning.
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