via Jobs
$120K - 200K a year
Design, deploy, and refine ML models for fraud detection, risk scoring, user experience, and automation in a FinTech platform.
3+ years ML Engineer or Data Scientist experience in FinTech startup, strong Python and ML libraries proficiency, AWS SageMaker experience, production ML model deployment, and collaboration in startup environment.
Machine Learning Engineer FinTech Payments Startup Compensation- $180,000 | 30% Bonus | Equity Fast-growing FinTech reshaping how businesses get paid. We’re building a platform for low-cost, direct-to-bank payments—slashing fees, boosting security, and giving merchants real control. Backed by industry leaders, we’re scaling fast and leveling up our ML and automation. The Role We’re looking for someone who sits between ML Engineer and Data Scientist—hands-on, curious, and great in the code. You’ll design, deploy, and refine models that drive fraud detection, risk scoring, user experience, and automation across the platform. You’ll take projects end-to-end with data, engineering, and product teams, bringing models from prototype to production. The Stack • Python • AWS (Sagemaker) • Java skills beneficial What We’re Looking For • 3+ years of experience as an ML Engineer, Data Scientist, or similar role, in a FinTech startup. • Strong proficiency in Python and common ML libraries • Hands-on experience with AWS SageMaker • Experience deploying and maintaining ML models in production. • Ability to collaborate in a fast-moving, startup-style environment. • Java experience is a plus, especially for integrating with backend systems.
This job posting was last updated on 12/4/2025