Machine Learning Lead

Lead ML initiatives at a fast-growing stablecoin payments company processing billions in volume, including AI-driven fraud prevention systems.

Coinflow is seeking a Machine Learning Lead to own the fraud and risk intelligence layer at the core of our platform.

This is a founding ML role. You'll lead our first dedicated ML team, building capabilities that combine our first-party transaction data with partner signals to optimize approval rates across payment methods and geographies, sharpen risk decisioning during merchant underwriting, and improve fraud detection across global payment methods. 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.

The ideal candidate has hands-on experience building fraud models on the acquiring side of payments and working alongside external fraud vendors to tackle card-present or card-not-present fraud, authorization decisioning, chargeback reduction, and related risk systems.

Key Responsibilities

Strengthen Coinflow's fraud detection and risk decisioning capabilities — feature engineering, model development, and production deployment

Own the full model lifecycle: experimentation, evaluation, monitoring, and iteration

Define and track core fraud and risk metrics — detection rate, false positive rate, chargeback rate, dispute win rate — and continuously improve them

Explore transaction and behavioral data to surface new fraud signals and emerging attack patterns

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

Establish the foundation for ML and data practices across the company

Help shape Coinflow's long-term fraud, risk, and ML roadmap

Required Qualifications 5+ years in machine learning, applied data science, or production ML roles

Demonstrated experience building fraud models in payments, with direct exposure to the acquiring side — acquirer, PSP, or payment facilitator

Proven track record taking ML projects from proof-of-concept to fully deployed, productionized systems

Deep familiarity with acquiring-side fraud dynamics: authorization fraud, card-not-present fraud, friendly fraud, chargeback patterns, and merchant risk

Strong foundation in ML, statistics, and feature engineering on high-volume financial data

Comfortable owning ambiguous problems end-to-end and creating structure where none exists

Strong collaborator across Engineering, Product, and Ops

Preferred Qualifications Experience at an acquirer, ISO, PayFac, or payments infrastructure company

Experience developing, managing, and scaling MLOps pipelines and monitoring systems (retraining schedules, real-time performance metrics)

Experience scoping cloud compute requirements for scalable ML workloads

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

What We Offer

Competitive compensation including base salary, performance bonus, and meaningful ownership

Opportunity to build the fraud and risk intelligence layer of a rapidly scaling fintech company

Collaborative and innovative work environment with world-class investors

Direct impact on core risk infrastructure and company trajectory during a hyper growth phase

The base salary range for this role is $225,000 - $275,000 USD. 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.

Join the team rewriting how money moves worldwide—and become a driving force in the $194 trillion cross-border payments market.

https://jobs.ashbyhq.com/Coinflow/cfcb2581-87c7-4db1-9679-0364eea1e23c