Case Study: Upwork achieves scalable, ML-powered job-search personalization and faster time-to-market with Databricks

Upwork - Customer Case Study

Upwork, a global freelancing marketplace, needed to personalize job search using machine learning but was held back by complex data engineering, a traditional data warehouse that couldn’t scale, live-versus-batch data mismatches that hurt model performance, and heavy overhead from nonstandard model-serving processes.

Databricks provided a unified analytics platform that standardized data engineering and data science workflows, giving Upwork early access to Apache Spark improvements and democratizing data across teams. The result was simplified operations, faster time to market, better collaboration between engineering and data science, reduced engineering overhead, and improved operational efficiency and model performance.

Upwork

Thanh Tran

Director of Data Science