
Entry Level Data Backend Engineer – Trust & Safety
Posted Aug 24

Posted Aug 24
This is a fully remote position, open to applicants in Canada.
• Design and develop backend services and data pipelines for the real-time identification and management of fake accounts and harmful content.
• Write, test, and deploy production-quality Python code throughout the Content Safety enforcement stack.
• Create and sustain internal tools for moderators and operations teams to evaluate and act upon flagged content and accounts.
• Maintain and enhance enforcement workflows that isolate content, deactivate accounts, and prevent harmful interactions.
• Work in collaboration with ML engineers to implement detection signals and model outputs in production.
• Engage in code reviews, participate in on-call rotations, and contribute to team processes.
• Investigate production issues and provide solutions across a complex codebase.
• Proficient in Python.
• Solid foundation in software engineering principles: data structures, algorithms, system design, and writing clean, tested, maintainable code.
• Familiarity with SQL and fundamental data processing concepts.
• Ability to quickly adapt to an unfamiliar codebase and formulate insightful questions.
• Strong written and verbal communication skills for effective cross-functional collaboration and documentation.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Fully remote work available for all locations in Canada.
• Yelp offers five-star benefits.
Fortinet
Fortinet
ABB
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