About the job
About Coinflow
Coinflow is an innovative payments company based in Chicago, transforming the way money is transacted globally. We empower merchants and marketplaces to accept various payment methods across over 170 countries, ensuring instant settlements, leveraging AI for fraud prevention, and providing blockchain-based proof of delivery.
With backing from top investors like Pantera Capital, CMT Digital, Coinbase Ventures, Jump Capital, and Reciprocal Ventures, Coinflow has recently secured $25M in Series A funding, propelling our mission to revolutionize cross-border payments.
Since our inception in 2024, we have experienced remarkable growth, achieving a 23x increase in revenue and reaching a multi-billion-dollar annual transaction volume run rate!
Role Overview:
We are looking for a passionate Machine Learning Engineer to join our team, responsible for developing the intelligence layer that drives our platform. As our first dedicated ML hire, you will have the unique opportunity to shape how data and machine learning practices are integrated throughout Coinflow. You will analyze extensive transaction and behavioral data, create models and analytical systems, establish success metrics, and incorporate intelligence directly into our products and internal tools.
The ideal candidate thrives on curiosity, is eager to experiment, and is driven to build innovative solutions that are yet to exist.
Key Responsibilities:
- Design and refine machine learning models and analytical systems that enhance platform decision-making and product intelligence.
- Establish foundational practices for data and machine learning across the organization.
- Define, manage, and evolve key performance metrics related to platform health, performance, and risk.
- Investigate transaction and behavioral data to identify patterns, signals, and valuable insights.
- Collaborate closely with Engineering, Product, and Operations teams to transform open-ended challenges into concrete systems.
- Develop methodologies for evaluating, enhancing, and ensuring the reliability of models and data systems over time.
- Create internal workflows and tools that support operational and product teams.
- Contribute to shaping Coinflow’s long-term data and machine learning strategy.

