Software Engineer, Fraud

Mercor•San Francisco, CA

12h•Onsite

About The Position

Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. As a Fraud Engineer at Mercor, you'll help build the systems that protect the integrity of our platform at scale. You'll work on high-impact problems across identity verification, abuse prevention, and project-level fraud, partnering closely with product and engineering to understand where risk exists, quantify it, and turn that understanding into durable systems and workflows. This role is ideal for someone who has seen fraud problems firsthand and can translate that experience into practical roadmaps, strong technical judgment, and fast-moving execution. If you don’t have that experience but are interested in helping spot and catch fraud and learn fast, feel free to apply. You'll join a small team where autonomy matters and where the right person can shape both strategy and implementation from day one. This is a role with high impact and broad scope. Your contributions will help solve an enormous challenge. This small team is responsible for keeping the platform safe and saving the company many millions of dollars annually.

Requirements

4+ years of experience in software engineering.
Ability to operate autonomously and take ownership over large, ambiguous problem areas.
Strong backend engineering fundamentals and comfort building production systems.
A practical, high-judgment approach to balancing speed, security, and user experience.

Nice To Haves

Experience working on fraud or abuse prevention, with a strong understanding of how to translate patterns and threats into product and engineering roadmaps.

Responsibilities

Own and build fraud detection and prevention systems across multiple fraud surfaces, including identity and platform abuse.
Partner closely with product and engineering to define a fraud roadmap, prioritize the highest-leverage problems, and ship defenses quickly.
Design and implement tools, workflows, and backend systems that detect suspicious behavior and reduce fraudulent activity.
Establish clearer visibility into fraud patterns, operational risk, and the effectiveness of prevention systems over time.
Work across ambiguous, fast-moving problem spaces and independently drive large scopes of work on a lean team.