# Liang Dai

> Machine learning lead

Location: Menlo Park, California, United States
Profile: https://flows.cv/liangdai

Work on large-scale machine learning and data mining problems in industry, especially in digital marketing.  

Good at building end to end machine learning systems: business model understanding, data collection, feature engineering, predictive modeling, insight delivery, and build a high quality data product.

## Work Experience
### Software Engineer @ Threads
Jan 2025 – Present
Uber TL of growth relevance

### Machine Learning Consultant @ Consultant Technologies
Jan 2013 – Present | San Francisco Bay Area
Machine learning framework and pipeline setup, data driven strategy&product design in multiple industrial regions, e.g. healthcare, eCommerce, advertising, mobile gaming, AR, IOT, etc.

### Sr Staff Machine Learning Engineer @ Pinterest
Jan 2023 – Jan 2025
Ads team ML lead

### ML lead @ Snap Inc.
Jan 2021 – Jan 2023
Content recommendation

### Tech Lead, Applied Research Scientist @ Facebook
Jan 2016 – Jan 2021 | Menlo Park
Ads multistage ranking system optimization 
Monetization for products&placements
Machine learning modeling dev

### Data Scientist @ NativeX, a Mobvista company
Jan 2014 – Jan 2016 | San Francisco Bay Area
Founding machine learning staff to build predictive models
Worked on feature engineering
Solved cold start problem in ads delivery
Ramped up and guided other data scientists

### Summer intern at Advanced Technology Lab @ Adobe
Jan 2012 – Jan 2012 | San Jose
Life-time Value optimization of Customer for Online Advertisement through Reinforcement Learning methods


## Education
### Doctor of Philosophy (Ph.D.)
University of California, Santa Cruz

### Master's degree
Zhejiang University

### Bachelor's degree
Zhejiang University


## Contact & Social
- LinkedIn: https://linkedin.com/in/liang-dai-2b205222

---
Source: https://flows.cv/liangdai
JSON Resume: https://flows.cv/liangdai/resume.json
Last updated: 2026-04-11