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Staff machine learning engineer/ applied scientist with a demonstrated experience in industrial large-scale recommender system.
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Staff Machine Learning EngineerLinkedin Aug 2022 - PresentSunnyvale, Ca, Us -
Test Engineer[Internal Test Purpose]Gsoba Aug 2022 - Present -
Senior Machine Learning Engineer, Instagram Shopping Relevance & Ai Applied Research RelevanceMeta Jan 2021 - Aug 2022Menlo Park, Ca, Us• As tech lead, drove cross-functional collaboration between Applied Research and Instagram retrieval and ranking teams, proposed and implemented 2 brand new models and mechanism (NLP, Graph Learning), successfully launched them in Instagram Reels that increased Reels engagement and creation.• Led the work in shopping end-to-end recommender system including retrieval and multi-stage ranking system and made consistent improvement in shopping engagement. -
Machine Learning Engineer, Ai Applied Research People UnderstandingMeta Jul 2018 - Jan 2021Menlo Park, Ca, UsImproved cutting-edge big graph model (PyTorch-BigGraph), implemented in large-scale distributed machine learning system and applied to user engagement data to get better user understanding. The results were applied to make company-wide impacts including News Feed, In-Feed Recommendations and Instagram Explore. -
Graduate Teaching AssistantNorth Carolina State University Aug 2013 - May 2018Raleigh, North Carolina, Us• Lab lecturer and grader of statistics courses for both graduates and undergraduates.• TA courses: Advanced Inference, Advanced Longitudinal Data Analysis, Statistics Theory, Probability and Statistics for Engineering, Introduction to Statistics. -
Research Scientist InternAmazon May 2017 - Aug 2017Seattle, Wa, Us• Developed a new metric to be used for regional forecast of product demand. • Wrote a python package to implement the proposed metric. -
Research Scientist InternAmazon May 2016 - Aug 2016Seattle, Wa, Us• Worked in the forecasting team under the Supply Chain Optimization Technology (SCOT) group. • Studied product substitution for apparels and shoes by applying machine learning and data mining techniques in order to help with optimal assortment planning and obtain better forecasting accuracy. -
Statistician InternGlaxosmithkline Aug 2014 - Aug 2015Brentford, Middlesex, GbProvided statistical consulting service to support drug discovery. Collaborated with scientists, conducted statistical analysis, and presented results. Projects include experiment design, sample size calculation, longitudinal analysis, etc.
Lin Su Skills
Lin Su Education Details
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North Carolina State UniversityStatistics -
Nankai UniversityMathematics And Statistics
Frequently Asked Questions about Lin Su
What company does Lin Su work for?
Lin Su works for Linkedin
What is Lin Su's role at the current company?
Lin Su's current role is Machine Learning Engineer at LinkedIn.
What is Lin Su's email address?
Lin Su's email address is li****@****ook.com
What is Lin Su's direct phone number?
Lin Su's direct phone number is +191937*****
What schools did Lin Su attend?
Lin Su attended North Carolina State University, Nankai University.
What skills is Lin Su known for?
Lin Su has skills like Statistics, R, Biostatics, Data Analysis, Sas, Machine Learning, Latex, Statistical Computing, Recommender Systems, Network Modeling, Matlab, Jmp.
Who are Lin Su's colleagues?
Lin Su's colleagues are Fabian Köpf, Jacky Lei, Molly Winchell, Aman Grover, Johnksk5m1119-195251 Doe, Lora Korpar, Yuting S..
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