Software Engineer, Fraud

• Lead the full architecture of fraud detection, prevention, and intervention systems
• Build intelligent user graphs to model behavioral patterns, detect collusion networks, and uncover account connectivity at scale
• Design, train, and deploy both traditional ML and LLM-powered models to detect fraudulent activity
• Develop scalable data pipelines and real-time inference systems capable of supporting high-volume, low-latency ML workloads
• Create human-in-the-loop systems that continuously refine detection accuracy and adapt to evolving adversarial tactics
• Perform deep behavioral and adversarial data analysis to surface emerging fraud trends and drive continuous system improvement
• Stay ahead of the curve by translating new insights into adaptive, production-ready systems

• Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, or a related technical field
• 4+ years of software engineering experience building systems for consumer-scale traffic and reliability
• 1+ years writing production-grade Python code and working with ML libraries (e.g. PyTorch, LightGBM)
• 1+ years of experience in machine learning or fraud prevention domains
• Deep business intuition and a data-driven mindset
• Fluency with data tooling, including data warehouses (e.g. Snowflake) and transformation frameworks (e.g. dbt, Dagster)
• Strong communication skills and the ability to lead initiatives across product areas
• Experience working in a remote-first environment and producing well-tested, reproducible work

Hands-on machine learning or data science experience in production environments

• Generous Holiday and Time off Policy
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
• Home office setup allowance
• Monthly allowance for cell phone and internet
• Care benefits
• Monthly allowance for wellness
• Annual allowance towards Childcare
• Lifetime benefit for family planning, such as adoption or fertility expenses
• Retirement
• 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
• Monthly allowance to dogfood the app
• Parental Leave
• 16 weeks of paid parental leave + one month gradual return to work