Software Engineer, Fraud
Whatnot
about 1 month ago
Los Angeles, CA, USA +3 more
Mid Level / Senior
H1B Sponsor
Base Salary
$170k - $230k/yr
Responsibilities
- Lead the architecture of fraud detection, prevention, and intervention systems.
- Build intelligent user graphs to model behavioral patterns and detect collusion networks.
- Design, train, and deploy ML models to detect fraudulent activity.
- Develop scalable data pipelines and real-time inference systems.
- Create human-in-the-loop systems to refine detection accuracy.
- Perform deep behavioral and adversarial data analysis to identify fraud trends.
- Translate new insights into adaptive, production-ready systems.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, or a related field.
- 4+ years of software engineering experience in high-growth environments.
- 1+ years of experience writing production-grade Python code and using ML libraries.
- 1+ years of experience in machine learning or fraud prevention.
- Strong data-driven mindset and business intuition.
- Fluency with data tooling, including data warehouses and transformation frameworks.
- Strong communication skills and ability to lead cross-functional initiatives.
Benefits
- Generous holiday and time off policy.
- Health insurance options including medical, dental, and vision.
- Work from home support including home office setup allowance.
- Monthly allowance for cell phone and internet.
- Care benefits including wellness and childcare allowances.
- Retirement options with employer match and pension plans.
- Paid parental leave of 16 weeks plus gradual return to work.
Tech Stack
dbtLightGBMPythonPyTorchSnowflake
Categories
AI & MLBackendData Science