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Senior Applied Scientist - AWS AI Labs at Amazon Web Services (AWS)
Innovative AI researcher with 10+ years of experience developing and deploying cutting-edge machine learning algorithms, specializing in NLP, Generative AI and recommendation system. Expertise in natural language processing, deep learning, big data, and responsible AI, with 600+ citations and 7 patents.（目前没回国打算） Key highlights: ● Speciality: Generative AI, NLP, Recommendation Systems, Responsible AI Practices ● Programming Languages: Python, C/C++, Java, SQL, Spark, R, Matlab ● Machine Learning Tool: PyTorch, TensorFlow, MxNet, Scikit-learn, Pandas, NumPy, Hadoop ● Big Data & Infrastructure: AWS, Docker, Kubernetes, Spark My google scholar page: https://scholar.google.com/citations?hl=en&user=iCRvHeMAAAAJ&view_op=list_works My Github: https://github.com/wxiao0421
North Carolina State University
Doctor of Philosophy (Ph.D.), Statistics
January 1, 2009 – January 1, 2014
Fudan University
Bachelor's degree, Statistics
January 1, 2004 – January 1, 2008
Amazon Web Services (AWS)
Senior Applied Scientist - AWS AI Labs
March 1, 2021 – Present
Amazon
Applied Scientist - Alexa AI
May 1, 2020 – March 1, 2021
Greater Seattle Area
Amazon
Applied Scientist - Customer Service ML
May 1, 2017 – April 1, 2020
Greater Seattle Area
SAS
Research Statistician Developer, R&D
July 1, 2014 – April 1, 2017
Cary, NC
SAS
Statistics Intern, R&D
May 1, 2013 – May 1, 2014
Cary, NC
Quintiles
Statistics Intern, CSDD
January 1, 2012 – December 1, 2012
Raleigh-Durham, North Carolina Area
SAS Certified Advanced Programmer for SAS 9
SAS Institute Inc.
June 24, 2026 – Present
SAS Certified Base Programmer for SAS 9
SAS Institute Inc.
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in large, research-intensive organizations like Amazon and SAS, indicating a fit for data-driven, innovative environments. Their experience spans various domains (AI Labs, Alexa AI, Customer Service ML, IoT, clinical trials), suggesting adaptability and a broad interest in applying statistical and machine learning techniques. The target role of 'Data Analyst' might be a mismatch given their extensive experience in 'Applied Scientist' and 'Senior Applied Scientist' roles, which typically involve more advanced model development and research than traditional data analysis. This could indicate either overqualification or a desire to shift focus, which would require further clarification.
Soft Skills & Operational Fit
The candidate's experience as a Senior Applied Scientist and manager at AWS AI Labs suggests strong leadership, problem-solving, and project management skills. Their work on Guardrails Contextual Grounding Check and Call Summarization indicates an ability to deliver complex projects with significant business impact. The descriptions imply a strong operational fit for roles requiring end-to-end model development and deployment.