Software Engineer - Ad Tech foursquare
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Since our inception in 2009, Foursquare has been a leading force in changing how location information enriches our real-world and digital lives. As a location intelligence company, Foursquare is comprised of two well-known consumer apps, Foursquare and Swarm, as well as thriving media and enterprise products. Our B2B offerings include Places (for developers), Pinpoint and Attribution (for marketers), and Place Insights (for analysts, based on the world's largest foot traffic panel). With more than 190 people across our offices in New York, San Francisco, and in sales offices around the globe, we?re dedicated to our trailblazing mission?enriching consumer experiences and informing business decisions with location intelligence.
About the Ad tech Engineering Team:
As a member of Foursquare's ad tech engineering team you will be working on large scale online and offline engineering challenges. The team is responsible for ad serving within the Foursquare apps, audience building across billions of data points per day, real time bidding, integrations with other ad server companies and ads effectiveness measurement. We're passionate about tackling tough infrastructure challenges (especially scaling problems), and look for others who like to dive deep into the code to help solve hard problems. You should be comfortable running with your own ideas and eager to learn new skills. We use a variety of tools, technologies, and languages to build software (e.g., Scala, Hadoop, Scalding, Netty, MongoDB), but experience with equivalent ones will do just fine.
Join us to help build and maintain the ad products that help drive revenue at Foursquare. Here are some high level areas you could get involved in:
- creating a new pricing algorithm for our real time bidder
- improving the quality of our offline venue search pipeline that we use to build audiences
- building out our offline ad effectiveness measurement product
- optimizing our Foursquare and Swarm in-app advertising placements.
3+ years of proven industry experience working in ad tech, backend services or infrastructure for a large scale system.
Solid foundation in computer science fundamentals with sound knowledge of data structures, algorithms, and design.
Strong Java or other object-oriented programming experience or, even better, experience and/or interest in functional languages (we use Scala!).
Familiarity with JVM profiling and GC tuning.
Experience with tools like YourKit, JMH, statsd-jvm-profiler or equivalents a plus.
Experience in concurrency, multithreading and synchronization.
Bonus points for experience with Hadoop, MongoDB, Docker, and AWS.
Bonus points for basic familiarity with machine learning pipelines and model training.
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