AI/ML Engineer

What you’d do

Build, train, and deploy deep learning and classical ML models on large-scale financial and behavioral data, owning problems end to end from framing through production monitoring. Team placement varies across Trust & Safety, Lending, Growth, and Foundation Models; four days a week in office. Found on the employer's careers page on Sep 27, 2026. Apply through the link.