# Machine Learning Engineer - Fraud Risk at Rain

- Company: Rain
- What the company does: Explore Rain’s enterprise payments infrastructure for stablecoin-powered cards and global money movement. Fast settlement, scalable API, and trusted performance. Backed by Norwest.
- Company website: https://www.raincards.xyz/
- Type: Startups (AI role)
- Level: Mid level
- Location: New York, NY
- Work setup: On-site
- Pay: $170K to $240K base salary per year (USD)
- Posted: 2026-01-09
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/rain/21bbb841-fe8c-41e3-abde-da66086e08f0
- Page: https://www.1752.vc/careers/jobs/rain-machine-learning-engineer-fraud-risk/

## About the role

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

## What they're looking for

- 5+ years of experience building ML systems in production, at least 2+ in fraud, risk, or anomaly detection domains
- 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)
- Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling
- Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems

Tags: Technology and Product