Machine Learning Engineer II
Signifyd
About this role
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.
Skills
Qualifications
About Signifyd
signifyd.comSignifyd 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.
Recent company news
FinTech FuturesSignifyd raises $205m in Series E featuring FIS
Mar 29, 2025
Star TribuneBig retailers like Target increasingly hit by online refund fraud rings; one Minnesotan charged in one scam
Dec 19, 2025
E-Commerce TimesHow Automation Frees Finance Teams To Power E-Commerce Growth
Apr 7, 2025
The Wall Street JournalE-Commerce Company Signifyd Raises $205 Million in Investor Funding
Apr 15, 2021
ForbesSignifyd's Developed An AI-Powered Response Solution To Combat Retail Fraud
Jul 26, 2023
About Signifyd
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
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
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View leadership team, funding history,
and employee contacts for Signifyd.
Salary
$129k – $187k
per year