12 hours ago
Base Salary
$120k - $180k/yr
Responsibilities
- Build and operate real-time model-serving infrastructure for fraud, risk, and payments scoring in the transaction authorization path.
- Design safe fallbacks and ensure model outages do not become payments outages.
- Own reproducible training, validation, deployment, and feature pipelines with point-in-time correctness.
- Implement model versioning, registries, shadow mode, champion/challenger testing, canary rollouts, and one-click rollback.
- Monitor latency, score distributions, feature drift, approval rates, fraud outcomes, and chargeback outcomes with actionable alerts.
- Integrate and evaluate third-party fraud and risk models using parallel and shadow testing.
- Build the data and scoring infrastructure for merchant-facing risk products and merchant-configured blocking rules.
Requirements
- 4+ years of experience in MLOps, ML infrastructure, or ML platform engineering, ideally in fintech, payments, or another regulated environment.
- Experience running models in production with real latency and uptime requirements; real-time inference in transaction or decisioning paths is a plus.
- Strong Python skills and solid production engineering practices, with comfort reading and writing TypeScript and Node.js.
- Hands-on experience with ML pipeline and serving tools such as MLflow, Kubeflow, SageMaker, Vertex, BentoML, or Feast.
- Strong infrastructure skills with containers, Kubernetes, CI/CD, and at least one major cloud provider.
- Data engineering experience building reliable feature pipelines over operational, warehouse, and streaming data and understanding training/serving skew.
- Experience monitoring production models for drift and calibration and connecting model metrics to fraud loss and approval rates.
- Familiarity with fraud, risk, or credit modeling and explaining model behavior to banks, auditors, and other non-ML stakeholders.
- Comfort using AI-native tooling such as Claude Code, or genuine interest in adopting it.
- A bias toward shipping practical model-pipeline solutions quickly.
Benefits
- Base salary of $150,000-$200,000 USD plus equity.
- Work with a fast-growing payments infrastructure company headquartered in Chicago, Illinois.
- Build ML infrastructure for real-time global payments, fraud prevention, and risk products.
Tech Stack
Categories
Data EngineeringML Engineering
About Coinflow
Coinflow is a Chicago-based payment service provider for marketplaces, fintechs, remittance providers, gaming platforms, and e-commerce merchants, offering instant settlement using stablecoins. Its platform combines global pay-ins, multi-currency FX, unified payouts, AI-driven fraud prevention, and chargeback indemnity, sold via transaction-based processing. Founded in 2023, Coinflow announced a Series A led by Pantera Capital in October 2025.