Coinflow
Machine Learning Lead
Chicago
Sponsorship not specified$175k-$235kDetected 25 days ago
RailsMachine LearningData ScienceMLOpsStatisticsA/B TestingUnderwriting
About the role
- That means digging into large-scale transaction and behavioral data, shipping production fraud models, defining what good looks like, and continuously raising the bar on detection and precision as our volume and merchant base scale.
- Strengthen Coinflow's fraud detection and risk decisioning capabilities - feature engineering, model development, and production deployment
- Define and track core fraud and risk metrics - detection rate, false positive rate, chargeback rate, dispute win rate - and continuously improve them
Responsibilities
- Own the full model lifecycle: experimentation, evaluation, monitoring, and iteration
- Partner with Engineering, Product, and Operations to embed fraud intelligence directly into payment flows and internal tooling
- Integrate and orchestrate external fraud/risk partners, getting maximum value from their tooling
- Demonstrated experience building fraud models in payments, with direct exposure to the acquiring side - acquirer, PSP, or payment facilitator
- Opportunity to build the fraud and risk intelligence layer of a rapidly scaling fintech company
Requirements
- Proven track record taking ML projects from proof-of-concept to fully deployed, productionized systems
Nice to have
- Experience at an acquirer, ISO, PayFac, or payments infrastructure company
- Familiarity with card network rules, dispute/chargeback workflows, and fraud liability frameworks
- Experience as an early or sole ML hire at a startup
- Exposure to real-time or near-real-time fraud scoring systems
- Experience with stablecoin, crypto, or alternative payment rails
Skills
- Experience scoping cloud compute requirements for scalable ML workloads
Compensation
- The base salary range for this role is $175,000 to $235,000 USD.
Benefits
- Competitive compensation including base salary, performance bonus, and meaningful ownership
- The actual base salary offered depends on a variety of factors, including but not limited to experience, education, skills, qualifications and business needs.
- In addition, the employee who fills this role will be eligible for an equity grant, allowing you to share in the long-term success of the company.
- You will also have access to a wide array of benefits, including health and wellness benefits, 401(k) savings plan, and flexible time off.
- 5+ years in machine learning, applied data science, or production ML roles
- Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the core of our platform.
Company info
- About Coinflow
- 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 & 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.
- 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 $25M Series A https://coinflow.cash/blog/coinflows-series-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.
- Coinflow is proudly headquartered in Chicago, IL.
- Learn more at coinflow.cash http://coinflow.cash.
- Establish the foundation for ML and data practices across the company
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