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Hi, I’m Michael Li, a Senior Applied ML Scientist with 10+ years of experience building production-ready machine learning systems across personalization, forecasting, and NLP. I’m passionate about turning data into actionable insights that move the needle for e-commerce, ad tech, and SaaS platforms. I excel at designing scalable ML pipelines and delivering business impact through predictive modeling, LTV segmentation, and ranking systems at scale. I love collaborating with product and analytics teams to define metrics, monitor performance, and iterate quickly. I’m focused on building reliable, explainable, and data-driven solutions, and I enjoy mentoring others as part of cross-functional initiatives.…Hi, I’m Michael Li, a Senior Applied ML Scientist with 10+ years of experience building production-ready machine learning systems across personalization, forecasting, and NLP. I’m passionate about turning data into actionable insights that move the needle for e-commerce, ad tech, and SaaS platforms. I excel at designing scalable ML pipelines and delivering business impact through predictive modeling, LTV segmentation, and ranking systems at scale. I love collaborating with product and analytics teams to define metrics, monitor performance, and iterate quickly. I’m focused on building reliable, explainable, and data-driven solutions, and I enjoy mentoring others as part of cross-functional initiatives.

Michael Li

Data Scientist, AI Engineer, AI Developer, +2

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Hi, I’m Michael Li, a Senior Applied ML Scientist with 10+ years of experience building production-ready machine learning systems across personalization, forecasting, and NLP. I’m passionate about turning data into actionable insights that move the needle for e-commerce, ad tech, and SaaS platforms. I excel at designing scalable ML pipelines and delivering business impact through predictive modeling, LTV segmentation, and ranking systems at scale. I love collaborating with product and analytics teams to define metrics, monitor performance, and iterate quickly. I’m focused on building reliable, explainable, and data-driven solutions, and I enjoy mentoring others as part of cross-functional initiatives.…Hi, I’m Michael Li, a Senior Applied ML Scientist with 10+ years of experience building production-ready machine learning systems across personalization, forecasting, and NLP. I’m passionate about turning data into actionable insights that move the needle for e-commerce, ad tech, and SaaS platforms. I excel at designing scalable ML pipelines and delivering business impact through predictive modeling, LTV segmentation, and ranking systems at scale. I love collaborating with product and analytics teams to define metrics, monitor performance, and iterate quickly. I’m focused on building reliable, explainable, and data-driven solutions, and I enjoy mentoring others as part of cross-functional initiatives.

Available to hire

Hi, I’m Michael Li, a Senior Applied ML Scientist with 10+ years of experience building production-ready machine learning systems across personalization, forecasting, and NLP. I’m passionate about turning data into actionable insights that move the needle for e-commerce, ad tech, and SaaS platforms. I excel at designing scalable ML pipelines and delivering business impact through predictive modeling, LTV segmentation, and ranking systems at scale.

I love collaborating with product and analytics teams to define metrics, monitor performance, and iterate quickly. I’m focused on building reliable, explainable, and data-driven solutions, and I enjoy mentoring others as part of cross-functional initiatives.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Senior Applied ML Scientist at Snap Inc.

February 1, 2022 - December 1, 2025

Spearheaded content ranking and retrieval systems for Snapchat's Feed and Creator surfaces, enhancing indexing, freshness, and cold-start strategies to drive content discovery and creator growth. Led end-to-end experimentation to shape growth and product initiatives, and built ML Ops pipelines for content ranking and retrieval. Implemented anomaly detection dashboards to monitor key metrics and improve production reliability.

Senior Machine Learning Engineer at Best Buy

January 1, 2018 - November 1, 2021

Led ML efforts to improve core personalization and search experiences across Best Buy's e-commerce platform, focusing on relevance, discoverability, and downstream conversion. Built and deployed product ranking models using XGBoost and deep neural nets, incorporating real-time signals and user behavior to optimize product placement. Developed large-scale data pipelines in Airflow and Spark to generate training data from click streams and inventory logs, improving freshness and scalability. Designed and operationalized KPIs for model performance and engagement, reducing production blind spots. Collaborated with product and analytics teams to define success metrics, power calculations, and post-test validation strategies for ML-driven features.

Data Scientist at Amazon

March 1, 2017 - December 1, 2017

Developed predictive models using behavioral and engagement signals to guide Alexa user growth and in-skill monetization strategies. Applied causal inference methods like propensity score matching and CUPED to measure the impact of feature launches on retention and long-term engagement. Built automated analytics pipelines and interactive Tableau dashboards to deliver daily insights on Alexa usage patterns, enabling global teams to track KPIs and run faster experiments.