What’s Uber like in terms of their business, the role, and the work culture?

Well, you’ll be diving into some pretty strategic marketplace problems at Uber! You’ll work on pricing and incentives, collaborating with product and data science teams to shape the technical roadmap. Plus, you’ll be designing machine learning solutions that directly impact Uber’s global business.

You’ll need a PhD or equivalent in a relevant field like Computer Science or Engineering, along with at least 7 years of full-time software engineering experience. It’s all about leveraging machine learning and optimization to build models in production, so a strong background in that area is key!

Absolutely! If you have experience building algorithms with large-scale data or a track record of creating highly-available systems, that would definitely stand out. Deep expertise in areas like reinforcement learning or deep learning is a big plus too!

For this role, you’re looking at a base salary between $257,000 and $285,500 per year, whether you’re in San Francisco or Sunnyvale. Plus, there are bonuses and equity awards on the table, which is pretty sweet!

Uber really values collaboration, so they expect employees to spend at least half their time in the office unless you have a special arrangement. It’s all about fostering that cultural identity and teamwork, which is super important to them!