PitchBook Data
The Staff Machine Learning Engineer on PitchBook’s Data Collection AI/ML team will design, architect, and deploy advanced AI and ML systems that power data collection, extraction, and enrichment workflows. The role focuses on automating ingestion and data quality pipelines across structured and unstructured sources and shaping long-term architectural direction and engineering standards. The position also drives PitchBook’s technical reputation through research, publications, and cross-functional collaboration with Product, Engineering, and Data Operations.
Headquarters
Seattle, Washington, United States
Company Size
1001-5000 employees
Founded
2007
PitchBook is a financial data and software company that provides comprehensive information and research on private capital markets, including venture capital, private equity, M&A, and public companies. Its subscription platform, APIs, Excel plugin and research reports deliver deal, fund, company, investor and valuation data along with analytics and market intelligence for investors, advisors, and corporate development teams. Trusted by GPs, LPs, investment banks and corporate strategists, PitchBook aggregates primary-sourced filings, news and proprietary research to support deal sourcing, due diligence, benchmarking and fundraising. The firm is part of Morningstar and focuses on integrating global coverage with tools for workflow integration and data export.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for PitchBook Data.
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