Summary
Yelp engineering culture is driven by our : we\xe2\x80\x99re 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\xe2\x80\x99re all about helping our users, growing as engineers, and having fun in a collaborative environment.
Are you passionate about applying experimentation, causal inference, analysis, and machine learning models to make high-quality, high-impact decisions? Do you want to help local businesses grow and succeed? Yelp\xe2\x80\x99s Ad Bid Optimization team works on challenging, multi-disciplinary problems at scale\xe2\x80\x94spanning economics, machine learning, statistics, and engineering\xe2\x80\x94with the goal of creating a valued marketplace between customers and advertisers.
As an Applied Scientist at Yelp, you will contribute to our marketplace for customers and advertisers by applying your knowledge of experimental and observational analysis alongside modeling and mechanism design. The range of problems you may take on here at Yelp includes:
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