Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.
At Yelp, we connect people with great local businesses. But have you ever wondered who ensures that search queries sift through over 100 million reviews across millions of businesses in under 400 milliseconds? Who selects the perfect ad from millions of possibilities faster than a blink of an eye? And once a user finds the ideal business for their needs, who ensures that our logs are seamlessly transported, transformed, and indexed to enhance their next experience?
We do! We're the data backend engineers who make these systems work with speed, efficiency, and at scale.
The Ranking Platform team at Yelp designs, builds, and maintains core search services that power business critical use-cases such as search ranking, ad delivery, and recommendations. We are responsible for building and scaling our backend search engine, managing our real-time indexing system that processes vast amounts of Yelp data for search, running machine learning models for ranking, and the Search API. This API is crucial for building, executing, and enhancing search results to present the most relevant businesses, photos, and review content. We’re looking for engineers to join our team to build elegant, scalable systems.
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.
- Design, build, and deploy systems and services that deliver the most relevant search results to Yelp’s users
- Work with technologies like Apache Lucene, Apache Flink, Apache Beam and Kubernetes to build core pieces of Yelp’s search infrastructure
- Write code and documentation, participate in code reviews
- Collaborate with other engineering teams and product managers to contribute to the technical roadmap
- Stay up-to-date with industry best practices, emerging technologies, and trends related to search ranking
- Support on-call rotations as needed to operate the team.
- A Bachelor’s Degree or an equivalent work experience is required.
- Solid foundation in data structures, algorithms, and complexity analysis
- Fluency in Java, Scala, Python or a similar language - familiarity with more than one is a plus
- Comprehensive understanding of systems and application design with an understanding of operational and reliability trade-offs