406 jobs found

Are you intrigued by data? Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers – and all of these numbers are constantly growing. Making sense of this data, deducing relationships between variables, and figuring out different interactions is hard work, but these insights are hugely impactful to Yelp’s business. Applied scientists uncover these insights through exploratory research and analysis, and carry the ideas all the way through to production-grade statistical or predictive models. They work in areas including pricing models and auction bidding strategies, learning to rank applications, personalized recommender systems, trust and safety / spam detection, and causal inference. Yelp engineering culture is driven by our values: we’re a cooperative team that encourages individual authenticity and “unboring” solutions to problems. We enable all new team members to deploy...

What do a user searching for their favorite brunch spot, an entrepreneur looking to grow their business, and a homeowner trying to find a dependable contractor have in common? Yelp, of course! Spread across 32 countries and listed as one of the top internet properties in the US, Yelp is on a mission to help people connect with great local businesses one review at a time. The Search Platform team at Yelp designs, builds, and maintains core search services that power business critical use-cases like search ranking, ad delivery, recommendations among others. We are responsible for building and scaling our backend search engine, our real-time indexing system responsible for making massive amounts of Yelp data consumable for search, running machine learning models for ranking, and the Search API used to build, execute and augment search results to surface the most relevant business, photo, review content. Where You Come In: Manage a team of engineers focused on...

Want to join a team where your work makes a significant impact? Using the richest source of local business data and user-generated content in the world, Yelp’s application backend engineers work closely with mobile and web developers to generate and power our websites and mobile apps, bringing Yelp’s 224M+ reviews to millions of users all around the world.  Application backend engineers take on a diverse set of challenges across the engineering org, from building products for business owners to get the most out of Yelp, to taking on some of the most meaningful problems in distributed computing and API design. Where You Come In: Build new features on top of our Service-Oriented Architecture Iterate quickly using Continuous Integration / Continuous Deployment principles Articulate a technical vision and execute it Give back by mentoring other engineers and sharing the skills you learn What It Takes to Succeed: Based or willing to relocate in the...

At Yelp, we are on a mission to drive the local economy by connecting users to great businesses. Our team, Ad Market Performance, provides data, analytics, and metrics that enable Yelp to better understand the performance of our advertising products and the quality of the connections we are creating. We track interactions with the product, and aggregate and transform large streams of data as those connections take place. We then serve data that supports and informs key product decisions. Some of our most important use-cases include: understanding the revenue impact of projects at Yelp, serving data as input to train critical machine learning models, and defining a source of truth for our financial data pipelines. On our team, you will be responsible for the design and implementation of our data infrastructure. You will ensure that Millions of complex interactions are efficiently processed every day and help us meet high expectations for our systems’ availability and...

Yelp connects people with 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 and is happily munching on their quinoa salad, who makes sure our logs are transported, transformed, and 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, and 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, and stream processing solutions to empower Yelp-wide use of Machine Learning to solve impactful business problems whether it’s providing a delightful user experience, data driven decision-making or ensuring the trustworthiness of Yelp’s content and...

As an engineer on the Core Android team, you’ll support Yelp’s Android community by developing tools, libraries, architectures, and infrastructure to keep things running smoothly. From continuous integration that enables our automated weekly release cycle to multi-module build setups that make our build times superfast, we’re always looking to integrate the latest and greatest technologies that make Android development at Yelp quick and easy. Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages “unboring” solutions to problems. We enable all new engineers to deploy working code their first week, and your impact will only grow from there with the support of your manager, mentor, and team. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment. Where You Come In: Develop tools, architectures, and infrastructure on top of...

Do you want to build and manage scaleable, self-healing, globally-distributed systems? Our Site Reliability engineers keep Yelp fast, available, and growing, connecting users to great local businesses. No matter how many times we get searched, scraped, scanned, spammed, pinged, paged, or queried, we gotta keep our cool - and keep the site running smoothly. We work in both the dev and systems worlds, implementing key parts of the core architecture and supporting devs as they try to do the same. We get to tackle interesting challenges that you can only find at the kind of scale that serves over 100 million users per month. You'll work to empower product teams and developers: at Yelp, spinning up infrastructure should always be a git commit and a code review away: automation and self-service are at the core of what we do. Where You Come In: Work closely with developers in supporting new features and services Build tools to monitor site stability and performance...

We’re looking for an Information Security (InfoSec) Engineer to join Yelp’s globally expanding Security team and help keep our infrastructure, network, end-points, and applications safe. Are you someone who’s passionate about understanding the behavior of malware, threat hunting, or digital forensics? Do you want to design, build, or optimize solutions to identify suspicious activities and threats, or are you interested in building a custom anomaly detection system? As an InfoSec Engineer, you’ll work on improving our security posture and capabilities. Together with our awesome security engineers, you’ll build custom solutions with creativity and automation to effectively and efficiently perform DFIR that works at scale. You’ll also partner with our internal stakeholders to help architect our future authentication, identity management, and network security systems. Where You Come In: Improve and enhance incident detection and response capabilities while building...

Yelp has hundreds of millions of pieces of user-contributed content, millions of users and business listings, and hundreds of thousands of advertising customers–and all of these numbers are constantly growing. Yelp’s machine learning engineers turn raw data into valuable signals by building end-to-end ML systems, from feature ETL to deploying predictive models in production, as well as by building the ML platforms that these models rely on. These systems power applications like search ranking, ads targeting, push notifications, and photo understanding. Our data teams banter about Bandits, know their way down a Gradient, and aren’t too Naïve to kick back in our office.  Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. We enable all new team members to deploy working code their first week, and your impact will only grow from there with the support of your manager, mentor,...

At Yelp, we’re on a mission to drive the local economy by connecting users to great businesses. The Ad Market Performance team provides data, analytics, and metrics that enable us to better understand the performance of our advertising products and the quality of the connections we’re creating. We track interactions with the product and aggregate & transform large streams of data as those connections take place. We serve data that supports and informs key product decisions, including understanding the revenue impact of projects, training critical machine learning models, and defining sources of truth for our financial data pipelines. As an Engineering Manager, you’ll lead the team responsible for the design and implementation of our ad infrastructure, ensuring that millions of complex interactions are efficiently processed every day, and helping us meet high expectations for our system availability and performance. You will empower engineers and decision-makers throughout...