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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.
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Tech Lead, MlSnap Inc.Bellevue, Wa, Us -
Staff Machine Learning Engineer, Tech LeadTiktok May 2024 - PresentLos Angeles, California, UsTiktok search ranking -
Applied ScientistAmazon May 2022 - May 2024Seattle, Wa, UsApplied 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 -
Research ScientistFacebook Feb 2021 - May 2022- 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 -
Phd CandidateNorthwestern University Oct 2016 - Nov 2020Evanston, Il, UsPhD Candidate in statistics. Thesis in machine learning & deep learning (natural language processing). My advisors are Prof. Diego Klabjan and Prof. Wenxin Jiang. -
Teaching Assistant & Research AssistantNorthwestern University Oct 2016 - Nov 2020Evanston, Il, UsCourses 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.
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Ml Phd InternFacebook Jun 2020 - Sep 2020Interned at Search Ads team where I developed multi-label BERT for query classification with various MTL techniques.
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Research InternFuturewei Technologies, Inc. Jun 2019 - Dec 2019Santa Clara, California, UsConducted 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)
Yiming Xu Skills
Yiming Xu Education Details
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Northwestern UniversityDeep Learning
Frequently Asked Questions about Yiming Xu
What company does Yiming Xu work for?
Yiming Xu works for Snap Inc.
What is Yiming Xu's role at the current company?
Yiming Xu's current role is Tech lead, ML.
What is Yiming Xu's email address?
Yiming Xu's email address is yi****@****ate.edu
What is Yiming Xu's direct phone number?
Yiming Xu's direct phone number is +197048*****
What schools did Yiming Xu attend?
Yiming Xu attended Northwestern University.
What are some of Yiming Xu's interests?
Yiming Xu has interest in Mathematics, Securities Pricing And Risk Management, Physics, Investments, Basketball And Half Marathon, Chromatic Harmonica, Computer Science, Operations Research, Chess, Statistics.
What skills is Yiming Xu known for?
Yiming Xu has skills like Data Analysis, R, Deep Learning, Latex, Matlab, Natural Language Processing, Mathematical And Statistical Modeling, Machine Learning, Operations Research, Numerical Analysis, Python, Time Series Analysis.
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