Machine Learning Lead at Coinflow

<p style="min-height:1.5em"><strong>About Coinflow</strong></p><p style="min-height:1.5em"></p><p style="min-height:1.5em">Coinflow 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 &amp; chargeback indemnity, global pay-ins, multi-currency FX, and unified payouts. Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms, and ecommerce merchants worldwide.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">Since our seed round in 2024, we’ve achieved 23x revenue growth and scaled to multi-billion-dollar annual transaction volume. In response to this growth, Coinflow announced a <a target="_blank" rel="noopener noreferrer nofollow" href="https://coinflow.cash/blog/coinflows-series-a"><u>$25M Series A</u></a> in October 2025—led by Pantera Capital, CMT Digital, Coinbase Ventures, Jump Crypto, and Reciprocal Ventures—accelerating our mission to power the world’s fastest-moving businesses with innovative, reliable global payments.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">Coinflow is proudly headquartered in Chicago, IL. Learn more at <a target="_blank" rel="noopener noreferrer nofollow" href="http://coinflow.cash"><u>coinflow.cash</u></a>.</p><p style="min-height:1.5em"><strong>Role Overview:</strong></p><p style="min-height:1.5em">Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the core of our platform.</p><p style="min-height:1.5em">This is a zero-to-one role. You will be our second dedicated ML hire and will build our fraud detection and risk decisioning capabilities from the ground up. That means digging into large-scale transaction and behavioral data, building and shipping production fraud models, defining what good looks like, and continuously raising the bar on detection and precision as our volume and merchant base scales.</p><p style="min-height:1.5em">The ideal candidate has hands-on experience building fraud models on the acquiring side of payments—card-present or card-not-present, authorization decisioning, chargeback reduction, or related risk systems—and is motivated by the challenge of building something that does not yet exist.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Key Responsibilities</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Build Coinflow's fraud detection and risk decisioning capabilities from zero, including feature engineering, model development, and production deployment</p></li><li><p style="min-height:1.5em">Own the full model lifecycle: experimentation, evaluation, monitoring, and iteration</p></li><li><p style="min-height:1.5em">Define and track core fraud and risk metrics—detection rate, false positive rate, chargeback rate, dispute win rate—and continuou