Yelp connects people to great local businesses, but who connects search queries to 100+ million reviews on millions of businesses in under 400 milliseconds? Who can select the perfect ad from millions of possibilities before the user can blink an eye? And after that user has found the perfect restaurant & is happily munching on their quinoa salad, who makes sure our logs are transported, transformed, & indexed so that we can create more awesome experiences for them next time? We do: the data backend engineers who make these systems work fast, efficiently, & at scale.
We're looking for experienced engineers to join our team to build elegant, scalable systems that use NoSQL data stores, data warehouses, batch processing, & stream processing solutions to empower Yelp-wide use of Machine Learning to solve impactful business problems or provide a delightful experience for data driven decision-making or ensure the trustworthiness of Yelp's content & protect the platform from abuse. If you're the person who leads their team to constantly improve existing systems & dive fearlessly into solving effectiveness problems, then we're looking for you!
Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity, & encourages creative solutions to problems. New hires are empowered to deploy working code their first week -- & your impact will only grow from there with the support of your manager & mentor. At the end of the day, we are all about helping our users, growing as engineers, & having fun in a collaborative environment.
We'd love to have you apply, even if you only meet a few of the requirements in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.
This opportunity is fully remote & does not require you to be located in the Toronto area. We welcome all applicants from Ontario.