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Joseph Wang

Joseph Wang is a Staff Software Engineer on Uber's Machine Learning Platform team. He is based in San Francisco. He worked on Feature Store, realtime model prediction service, model quality platform, and model performance.

Engineering Blog Articles

Tuning Model Performance


Uber uses machine learning (ML) models to power critical business decisions. An ML model goes through many experiment iterations before making it to production. During the experimentation phase, data scientists or machine learning engineers explore adding features, tuning parameters,

Continuous Integration and Deployment for Machine Learning Online Serving and Models


At Uber, we have witnessed a significant increase in machine learning adoption across various organizations and use-cases over the last few years. Our machine learning models are empowering a better customer experience, helping prevent safety incidents, and ensuring market

Productionizing Distributed XGBoost to Train Deep Tree Models with Large Data Sets at Uber

Michelangelo, Uber’s machine learning (ML) platform, powers machine learning model training across various use cases at Uber, such as forecasting rider demand, fraud detection, food discovery and recommendation for Uber Eats, and improving the accuracy of