9 months ago
Base Salary
$50k - $999k/yr
Responsibilities
- Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis.
- Develop and maintain end-to-end ML pipelines covering data ingestion, feature engineering, model training, deployment, and continuous monitoring.
- Design and implement low-latency real-time decision systems using transaction and behavioral data streams.
- Own ML infrastructure, including model versioning, automated retraining, and shadow or rollback deployment strategies.
- Build monitoring and alerting for model performance, latency, data quality, and drift.
- Lead experimentation in model explainability, drift detection, and adversarial robustness for fraud prevention.
- Develop tooling and processes to improve the speed and effectiveness of the ML development lifecycle.
- Partner with platform teams to meet availability, latency, and accuracy SLAs.
- Collaborate with engineers, data scientists, and compliance teams across Rain.
Requirements
- 5+ years of experience building production ML systems, including at least 2 years in fraud, risk, or anomaly detection.
- A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field.
- Proven experience designing and maintaining ML models at scale.
- Advanced proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn.
- Strong understanding of supervised and unsupervised learning, anomaly detection, and statistical modeling.
- Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models.
- Experience collaborating with cross-functional teams to prioritize, scope, and deploy ML solutions at scale.
- Preferred domain expertise in banking, payments, or transaction monitoring.
- Preferred experience with graph-based or network-level fraud detection techniques.
- A graduate degree in a relevant technical field is preferred.
- Preferred experience fine-tuning or adapting generative AI or large language models for pattern generation or synthetic data augmentation.
- Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts is preferred.
Benefits
- Unlimited time off, with at least 10 days off required annually.
- Flexible work-from-home or office arrangement, plus a stipend for new employees to create a comfortable home environment.
- Comprehensive US health, dental, and vision plans for employees and dependents.
- Company-subsidized life insurance for US employees.
- 401(k) retirement plan with a company match.
- Equity option plan.
- Rain card for testing the company’s products and services.
- Health and wellness spending support.
- Domestic and international team and company off-sites.
Categories
About Rain
Rain builds a card issuance and payments infrastructure platform for enterprises, fintechs, and platforms to use tokenized money in real-world transactions. Its services include compliant program management, digital-asset authorization and settlement, and rails that power stablecoin-backed cards, cross-border payouts, B2B purchases, and remittances. Founded in 2021, the privately held company partners with financial institutions and neobanks worldwide and is backed by investors such as ICONIQ, Lightspeed, Khosla, Galaxy, Sapphire, and Norwest.