New opportunity

Applied ML Scientist

SentiLink · Remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.

About this role

Build and ship production machine learning models to detect fraud and advance financial risk products, owning the end-to-end ML lifecycle from data acquisition and featurization through training, deployment, and monitoring. Role is remote within the U.S. with a strong preference for candidates able to work from Austin, San Francisco, or New York.

Skills for this role

Python 3PostgreSQLAWS EC2AWS S3AWS RDSAWS RedshiftMachine LearningStatisticsApplied Data ScienceData acquisitionFeaturizationLabelingFeature engineeringModel trainingExperimentationProductionalizationModel monitoringProduction-ready codeData analysisData qualityReal-time decision makingFraud detectionIdentity verificationFinancial risk modelingCommunication