About The Position
Yelp's Content Safety team is the real-time enforcement engine of Trust & Safety. We protect the platform from fake accounts, inappropriate content, and disruptive interactions, stopping harmful content within seconds to hours across Yelp's consumer and business-facing surfaces. As an entry-level Data Backend Engineer, you will contribute to the systems that keep Yelp trustworthy at scale. This includes enforcement pipelines, data infrastructure, and internal tooling used by operations and moderation teams to review and act on flagged content and accounts. You will work closely with your fellow engineers and ML specialists to contribute valuable code and ship work that has a direct impact on the safety of millions of users. You’ll have the opportunity to build deep backend and data engineering skills on meaningful, high-stakes problems. This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.
Requirements
- Proficiency in Python
- Strong software engineering fundamentals: data structures, algorithms, system design, and a commitment to writing 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 as the team works cross-functionally and documents its work
- BS in Computer Science or equivalent practical experience
Responsibilities
- Design and build backend services and data pipelines that power real-time detection and enforcement of fake accounts and harmful content, with a focus on code quality, testability, and maintainability
- Write, test, and ship production-grade Python code across Content Safety's enforcement stack, following engineering best practices with guidance from senior engineers
- Help build and maintain internal tooling used by moderators and operations teams to review and action flagged content and accounts
- Help maintain and improve enforcement flows that quarantine content, close accounts, and block harmful interactions
- Collaborate with ML engineers to support the productionization of detection signals and model outputs, with opportunities over time to contribute to analysis and model development.
- Participate in code reviews, oncall rotations, and team processes to build operational instincts over time
- Investigate production issues and contribute fixes across a complex, interconnected codebase
Benefits
- Yelp's five star benefits
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
