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Engineering Manager, Fraud & Compliance

Mercor · San Francisco

$250k–400k/yr On-site Manager
Eval harnessesLLM-as-judgeObservabilityLatencyThroughputDeep learningNLPComputer visionPythonKubernetesDockerAWSGCPAzureCI/CD

ABOUT MERCOR Mercor's mission is to organize human intelligence to power the AI economy. 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 $3 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. We're building the infrastructure that powers one of the world's largest expert networks and delivers expert data at unprecedented scale. We're looking for exceptional engineering leaders to help us protect the integrity of that ecosystem — building the fraud, risk, and compliance systems that make a global expert marketplace trustworthy at scale. We value builders who have repeatedly chosen difficult problems, thrived in environments with high expectations, and can point to concrete examples where their leadership materially changed the trajectory of a team, product, or company. Why This Role We're still early. Fraud is one of Mercor's most important business challenges. Every day, we process enormous volumes of applications, assessments, identity verifications, and work activity across a global talent network. Protecting that ecosystem requires sophisticated systems that can identify fraudulent behavior, evaluate risk, and make accurate decisions at scale — and the playbooks for doing it on an AI-native expert marketplace don't yet exist. Fraud is an adversarial problem.

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