Coinflow

About the Company

Coinflow (fka Coinflow Labs) is the next-generation payment service provider revolutionizing global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow enables businesses to grow faster with instant settlement, fraud & chargeback indemnity, global pay-in, multi-currency FX, and unified payouts—all in one intuitive platform. We serve marketplaces, fintechs, remittance providers, gaming platforms, and e-commerce merchants worldwide. Coinflow is proudly headquartered in Chicago, Illinois.

Listed Jobs

Company Name

Coinflow

Job Title

Machine Learning Engineer

Job Description

Job title: Machine Learning Engineer Role Summary: First dedicated ML hire in a high‑growth fintech, tasked with building and scaling the intelligence layer that powers the payments platform from zero to production. Own end‑to‑end data and machine‑learning systems, define success metrics, and embed AI into products and internal tools. Expactations: • Lead the design, development, deployment, and monitoring of ML models that drive platform decisioning and product intelligence. • Establish the organization’s data‑science foundation, including best‑practice pipelines, versioning, and governance. • Define, own, and evolve core metrics for platform health, performance, and risk. • Transform ambiguous business problems into scalable, production‑ready solutions. • Communicate findings and technical design to engineering, product, and operations teams. • Mentor and collaborate with cross‑functional stakeholders to integrate ML insights into operational workflows. Key Responsibilities: • Build and iterate machine‑learning models and analytical systems for decisioning, fraud, and risk. • Explore large‑scale transaction and behavioral data to uncover patterns and signals. • Design model evaluation, improvement, and trust frameworks. • Create internal tooling and workflows that support operational and product teams. • Contribute to the long‑term data and ML roadmap. Required Skills: • 4+ years in production machine learning, applied data science, or related roles. • Strong foundation in ML algorithms, statistics, and analytical problem solving. • Proven experience building models that run in real products. • Ability to structure ambiguous problems and deliver tangible solutions. • Excellent cross‑functional communication and collaboration. • High ownership mindset and curiosity about messy, real‑world data. Required Education & Certifications: • Bachelor’s degree in Computer Science, Statistics, Mathematics, or equivalent quantitative field (additional advanced degrees or industry certifications valued).

Chicago, United states

On site

Junior

25-02-2026