Software Engineer, Fraud

📋 Description

• Lead fraud detection architecture across ML, backend, and client components.
• Build intelligent user graphs to detect collusion at scale.
• Design, train, and deploy ML and LLM models to detect fraud.
• Develop scalable data pipelines and real-time inference for high-volume workloads.
• Create human-in-the-loop systems to refine detection accuracy.
• Analyze behavioral/adversarial data to surface fraud trends and improve.

🎯 Requirements

• Bachelor's degree in CS, Statistics, Applied Math, Economics, or related field.
• 4+ years software engineering for consumer-scale traffic and reliability.
• 1+ years production-grade Python and ML libraries (PyTorch, LightGBM).
• 1+ years experience in ML or fraud prevention domains.
• Proficiency with data tooling: Snowflake, dbt, Dagster.
• Strong communication and ability to lead across product and data science.

🎁 Benefits

• Generous holiday and paid time off policy
• Health/Medical/Dental/Vision insurance options
• Work From Home support
• Home office setup allowance
• Monthly cell phone and internet allowance
• 401(k) with employer match (US) and international pension plans