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Ocrolus Inc.
A Staff Machine Learning Engineer at Ocrolus is a senior technical leader responsible for shaping the company’s ML platform and advancing AI capabilities for fintech document processing. The role influences machine learning infrastructure, system architecture, and deployment practices while collaborating across teams and supporting technical growth. The position operates at high strategic impact, contributing to the reliability and scalability of models used in production.
Headquarters
New York, New York, United States
Company Size
201-500 employees
Founded
2014
Ocrolus is an AI-powered workflow and analytics platform that automates financial document analysis for lenders. It extracts and normalizes data from bank statements, paystubs, tax forms and other documents with high accuracy, enabling faster underwriting, servicing, and fraud detection. The platform integrates via APIs into lender workflows and provides analytics and industry-specific intelligence to reduce manual review, improve decisioning speed, and maintain compliance for banks, fintechs, and other credit providers.
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 Ocrolus Inc..
Ocrolus Launches Comprehensive Fraud Detection Solution for Lenders
Sep 12, 2022
