Software Engineer - Data Mining (Ad Autobidding Team)

Our Ads engineers build data systems that pick a billion ads to show every month. They banter about Bandits, know their way down a Gradient, and aren’t too Naïve to kick back in our Bay(es) Area offices. We love new ideas and collaboration: don’t come here with any Prior prejudices or you will Maximize your Likelihood of getting your Posterior kicked.

Our Autobidding team’s mission: find every last efficiency in our ad market. A coffee shop in the small town doesn’t have much competition? Let’s find a way to fit more clicks into their budget. Competition among movers heating up in the big city? Time to figure out which niche works best for each challenger. We do that millions of times per month as the competitive landscape shifts.

Our teams eat data for breakfast, chew it up, and spit out useful products. Saddle up and get on board!

What You Will Do:

  • Work with the team to come up with creative ideas for new approaches and signals, then carry those ideas all the way to launch.
  • Explore data to measure the impact of your changes and come up with ideas for how to maximize that impact.
  • Work closely with infrastructure engineers to make sure that your algorithms will effectively scale to large data sets and to ensure that their systems provide the flexibility needed for your ideas.

We Are Looking For:

  • 3+ years industry experience in machine learning, statistics, or related fields.
  • A passion for big data and creative ideas for what to do with it.
  • The algorithms and data structures experience to make your ideas workable.
  • The coding experience to turn those ideas into reality. We use Java and Python. You don’t need to be an expert, but experience is a plus and we will expect you to learn them on the job.
  • Minimum BA/BS degree in Computer Science, Math, or related degree.
  • A love of delighting people with local knowledge.

Pluses:

  • Experience with online auctions, auction bidding strategies, operations research, control theory, distributed algorithms, or mathematical optimization.
  • Experience working with Hadoop, Spark, or mrjob.
  • Masters degree, PhD, or additional years of experience.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

*LI-MS1


Meet Some of Yelp's Employees

Sahr S.

Senior Training Manager, Local Sales

Sahr runs Yelp's Sales Training Team in San Francisco. Combining friendly fun with hands-on learning, she shows new hires how to shine on the sales floor.

Heather C.

Account Executive

Heather connects with small, local businesses to improve their ad programs and services. She presents solutions to clients that will help grow their business.


Back to top