Software Engineer, Trust & Safety

Responsibilities

• Build and operate technical systems across signup, payments, and usage to detect abuse and fraud early.
• Own the technical enforcement pipeline end to end, from detection proposing a candidate to a human reviewing it to restrictions landing across our systems.
• Build the internal tools that support investigation and enforcement decision-making. This involves building case queues, evidence summaries, bulk review and enactment, and alerting mechanisms to trigger investigations.
• Ship technical solutions for content safety on the inference path: illegal content detection and reporting, the KYC systems or external intelligence sources to allow us to more efficiently and proactively detect and stop fraud and abuse.
• Help make abuse uneconomical by building systems, tools, and heuristics for quick detection and scalable enforcement.
• Help investigate incidents directly in the data and build the analytics plane so we can quickly establish what happened, size the pattern, and separate real abuse from a false-positive cluster.
• Build defensible monitoring for risk, abuse spikes, and fraud, all while reducing false positives.
• Set the technical direction for how we prevent abuse as the platform grows and evolves, and define the patterns other engineers build against.
• Work with data scientists on feature exploration and training of risk and abuse ML models

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