Rain
Machine Learning Engineer - Fraud Risk
New York, NY
Sponsorship not specifiedDetected 193 days ago
PythonMachine LearningTensorFlowPyTorchscikit-learnData ScienceLLMsStatisticsA/B TestingCompliance
About the role
- We are a pillar of the business, supporting new products and ensuring their success.
- Rain's next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat.
Responsibilities
- Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis
- Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring
- Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams
- Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback)
- Build robust monitoring and alerting for model performance, latency, data quality, and drift
- Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases
- Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle
- Partner with platform teams to meet strict SLAs for availability, latency, and accuracy
- Collaborate closely with talented engineers, data scientist and compliance teams across Rain
- To support this mission, we issue a card for our team to use for testing.
Requirements
- 5+ years of experience building ML systems in production
- A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
- Proven track record designing and maintaining ML models at scale
- Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale
- Domain expertise in banking, payments, or transaction monitoring
- Experience with graph-based or network-level fraud detection techniques
- A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
- Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science)
- Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts
Benefits
- Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take at least 10 days off.
- Flexible working ☕ We support a flexible workplace.
- New Rainmakers will receive a stipend to create a comfortable home environment.
- Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental, and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.
- Retirement goals💡Plan for the future with confidence.
- Equity plan 📦 We offer every Rainmaker an equity option plan so we can all benefit from our success.
- Health and Wellness 📚 High performance begins from within.
- Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
Company info
- Rain makes the next generation of payments possible across the globe.
- We're a lean and mighty team of passionate builders and veteran founders.
- Our infrastructure makes stablecoins usable in the real-world by powering card transactions, cross-border payments, B2B purchases, remittances, and more.
- We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient.
- You will have the opportunity to deliver massive impact at a hypergrowth company that is funded by some of the top investors in fintech, crypto, and SaaS, including Sapphire Ventures, Norwest, Galaxy Ventures, Lightspeed, Khosla, and several more.
- If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
- We believe in an open and flat structure.
- You will be able to grow into the role that most aligns with your goals.
- Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
- The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience.
- We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models.
- We offer a 401(k) with a 4% company match.
This listing is sourced directly from Rain's careers page and normalized into a canonical job model.