Staff Software Engineer Account Abuse Machine Learning Jobs

As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale.

engineering experience (not including internships and co-ops), preferably with a focus on integrity, spam, fraud, or abuse detection.

, or anti-abuse engineering in a high-scale production environment.

…role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling

As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across

As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being.

, or anti-abuse engineering in a high-scale production environment.

Qualifications: 10+ years of software engineering experience and 4+ years in engineering management, including 1+ years managing managers

, subscription and trial abuse, promotional abuse, and friendly fraud Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network

, or anti-abuse engineering in a high-scale production environment.

, or anti-abuse engineering in a high-scale production environment.

Work directly with machine-learning engineers to simplify their workflows and reduce manual

Qualifications 5+ years of software engineering or machine learning engineering experience, with a track record

We are looking for a software engineer with anti fraud & abuse experience to help architect and build our next-generation anti-fraud systems.