ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
Signifyd
A Machine Learning Engineer at Signifyd develops and improves fraud detection models that are central to the company's product. The role involves researching fraud patterns, building production machine learning models, and collaborating with engineering teams to enhance the machine-learning pipeline.
Headquarters
San Jose, California, United States
Company Size
501-1000 employees
Founded
2011
Signifyd is an ecommerce fraud protection and prevention platform for retailers. It helps online businesses approve more legitimate orders, prevent fraud and abuse, and grow with confidence—its decisions are 100% financially backed. Signifyd emphasizes putting customer experience at the heart of operations to strike the right balance between conversion and fraud prevention through data-driven decisioning and integrations.
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 Signifyd.
Signifyd didn’t post a salary, so this is our estimate from similar listings.
8% below the average for this role
The Wall Street JournalE-Commerce Company Signifyd Raises $205 Million in Investor Funding
Apr 15, 2021
Healthcare Statistical Data Scientist
SmartLight Analytics
Senior Data Scientist / AI Machine Learning Research Engineer
CACI
Machine Learning Scientist, Marketing
The New York Times Company
Manager, Data Science and Machine Learning (Risk and Fraud)
Trustly
Senior Machine Learning Engineer
Plaid
Ingénieur en Apprentissage Automatique
United Nations
