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© All Rights Reserved. ApplyBlast.com
Experian
As a Machine Learning Engineer at Experian, you will design, build, and deploy cutting-edge machine learning and generative AI solutions at scale for decisioning, analytics, fraud, and identity products. You will combine deep data science expertise with ML engineering capabilities to deliver production-ready models and platform capabilities while partnering with cross-functional teams to support global product launches. The role involves crafting advanced analytical solutions, developing production-quality code, and communicating complex model methodologies to both technical and non-technical stakeholders.
Headquarters
Costa Mesa, California, United States
Company Size
10001+ employees
Founded
1980
Experian is a global information services company that helps consumers and businesses understand and manage credit and financial health. For consumers it provides free credit reports and FICO® Scores, credit monitoring, identity protection, and tools to track and improve credit; for businesses it delivers data, analytics, and decisioning solutions for lending, marketing, fraud prevention, and risk management. Branded as a "Big Financial Friend," Experian also connects customers with credit cards, loans, insurance, and other personalized financial products. Organizations rely on Experian for its extensive consumer credit data, scoring models, and compliance-focused services.
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 Experian.
Experian didn’t post a salary, so this is our estimate from similar listings.
27% below the average for this role