Reducto
As the ML Infrastructure Tech Lead at Reducto, you will own the technical direction and roadmap for high-performance model training and inference systems. This hands-on role involves building, debugging, and optimizing infrastructure across the stack, from model-serving kernels to distributed systems, while collaborating with ML and Platform teams on architecture. You will balance setting strategic direction with personally implementing complex technical solutions to improve GPU utilization, latency, and reliability.
Reducto is an AI-powered document parsing and extraction software designed to efficiently process complex documents such as PDFs, Excel spreadsheets, and PowerPoint slides. It provides high-quality document ingestion tailored for AI teams, enabling seamless integration and usage in various applications. Reducto’s technology is aimed at enhancing document workflows by offering precise parsing capabilities, making it an essential tool for organizations looking to leverage AI in their operations. With a focus on accuracy and usability, Reducto is set to transform how documents are handled in the AI landscape.
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 Reducto.
45% above the average for this role
Oct 14, 2025
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