Entry-level backend engineer building Yelp’s Trust & Safety services and data pipelines. Supporting real-time enforcement of fake accounts and harmful content across the platform.
Responsibilities
Design and build backend services and data pipelines for real-time detection and enforcement of fake accounts and harmful content
Write, test, and ship production-grade Python code across the Content Safety enforcement stack
Build and maintain internal tooling for moderators and operations teams to review and action flagged content and accounts
Maintain and improve enforcement flows that quarantine content, close accounts, and block harmful interactions
Collaborate with ML engineers to productionize detection signals and model outputs
Participate in code reviews, on-call rotations, and team processes
Investigate production issues and contribute fixes across a complex codebase
Requirements
Proficiency in Python
Strong software engineering fundamentals: data structures, algorithms, system design, and clean, tested, maintainable code
Familiarity with SQL and basic data processing concepts
Ability to ramp quickly on an unfamiliar codebase and ask good questions
Clear written and verbal communication for cross-functional work and documentation
BS in Computer Science or equivalent practical experience
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