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Accountabilities:
- Build and operate large-scale backend systems that detect fraudulent activity using rules, productionized machine learning models, APIs, and high-volume data pipelines.
- Investigate end-to-end systems to understand how fraudulent listings are created, where vulnerabilities exist, and how bad actors can be detected or prevented.
- Partner with machine learning engineers, data scientists, product managers, designers, and customer service operations to identify, refine, prioritize, and deliver high-impact fraud prevention initiatives.
Requirements:
- Have 3+ years of professional software engineering experience building and operating systems at scale.
- Demonstrate a strong passion for building user-facing products, robust backend services, or other high-scale software systems.
- Be capable of writing efficient, reliable, maintainable, production-quality code.
Benefits:
- Base salary: $162,000–$186,000 USD annually.
- Potential eligibility for bonus and equity compensation.
- Employee travel credits and US-remote eligible working arrangement.
Trustus US Security & IT
This partner company is a mission-driven trust organization focused on protecting users from fraudulent listings and harmful experiences. They operate a global platform and value curiosity, technical depth, and collaboration among their teams.