Jiayong Lin
@jiayonglin
Machine Learning engineer delivering scalable AI, NLP, and recommendation systems.
United StatesWhat I'm looking for
I am a machine learning engineer with 7+ years building and deploying scalable AI solutions across production environments, specializing in deep learning, NLP, recommendation systems, and multimodal models. I design end-to-end ML pipelines, implement MLOps best practices, and collaborate with cross-functional teams to translate complex data into reliable, production-ready systems.
At Meta and prior employers I led technical initiatives, mentored junior engineers, and contributed to research and tooling that improved transformer efficiency and large-scale training and deployment. I bring hands-on experience with cloud platforms, distributed training, observability, and responsible AI to deliver high-impact, measurable results.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Meta
Jul 2022 - Present (3 years 7 months)
Designed and deployed large-scale transformer and multimodal models supporting advanced assistant experiences, built end-to-end ML pipelines and RAG/embedding search systems, and improved distributed training performance and production reliability.
Machine Learning Engineer
The Michaels Companies, Inc
Aug 2020 - Jul 2022 (1 year 11 months)
Built recommendation and personalization systems for e-commerce and marketing, engineered customer segmentation pipelines for 1,200+ stores, and migrated legacy ML workflows to scalable GCP architectures improving deployment time and operational overhead.
Data Scientist
University of Maryland, Baltimore County
Feb 2018 - May 2020 (2 years 3 months)
Conducted applied ML research in predictive modeling and NLP, built large-scale data pipelines and reproducible workflows, and delivered analyses and models that improved institutional insights and reporting accuracy.
Research Assistant
University of Maryland, Baltimore County
Sep 2016 - Feb 2018 (1 year 5 months)
Supported ML model development for cybersecurity analytics and NLP/knowledge-graph research, built preprocessing pipelines for large datasets, and contributed to prototype scalable ML solutions and technical presentations.
Education
Degrees, certifications, and relevant coursework
UPUniversity of Maryland, College Park
Master of Science, Computer Science
2018 - 2020
Master's degree in Computer Science with coursework and research in machine learning and related areas from 2018 to 2020.
UCUniversity of Maryland, Baltimore County
Bachelor of Science, Computer Science
2013 - 2017
Bachelor's degree in Computer Science with emphasis on programming, data analysis, and applied machine learning from 2013 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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