Senior Machine Learning Engineer- Rider Pricing & Incentives Intelligence - Marketplace at Uber (South Bay)

| South Bay
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Uber's Marketplace Engineering team creates the technology behind our ridesharing marketplace by connecting riders with drivers at the push of a button. Our solutions expand user access, deliver reliability, and provide more transportation choices to users across our global markets.
About the Role
Uber Marketplace (https://marketplace.uber.com/) is at the core of Uber's business, and rider pricing and incentives are strategically critical components of Marketplace. The mission of the team is to foster growth and increase profitability of Uber by pushingthe frontiers of machine learning, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact to the transportation industry.The team is rapidly growing with high impact and visibility from the top. We are responsible for developing state of the art technology to optimize the pricing and incentives strategy in our platform that directly drives efficiencies and effectiveness across rider interaction with Uber. We handle a significant trunk of all the pricing and incentives budget we are spending at Uber and we aim to build long-term loyalty among Uber riders and create a healthy and balanced ecosystem It is a challenging yet rewarding job.
As an engineer you will have a lot of opportunities to work with product managers, data scientists and of course engineers from other teams. You will participate the whole development cycle of a software product from product scoping, architecture design, software implementation, to productionization, and learn how to iterate a product for greater success. We own a few products that directly impact Uber's bottom line. We are a data driven team, and you will be able to see the impact of your work reflected in Uber's earning report, such as gross booking and trips. The least thing you need to worry about is scope and visibility. We have manydifferent roles in the team, and need a broad range of skills such as machine learning, big data, optimization, and infrastructure. This is a unique opportunity to grow your career and do highly impactful fun things at the same time.
What You'll Do
  • Drive open-ended projects from end to end, with exceptional execution
  • Thrive in ambiguous product requirements.
  • Collaborate with Product Managers and Data Scientists closely.
  • Make data driven decisions
  • Be motivated to own projects and push them forward with independence.
  • Most importantly, have a passion to make Uber better for our ride

Basic Qualifications
  • 3+ years of experience with Software Development
  • Working experience in one or more object-oriented languages, including Python, Go, Scala or Java, and an eagerness to learn more
  • 1 year or experience on Machine Learning, Optimization and Data Mining

Preferred Qualifications
  • Experience in statistics
  • Experience developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability
  • Experience presenting at industry recognized ML conferences as well as being published in the field
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An Insider's view of Uber

What’s the vibe like in the office?

When I went into the office for my final interview with Uber, I had the same feeling that I did when I stepped onto my college’s campus for the first time: it just felt like the right fit. The office was high-paced but also relaxed and you could immediately tell that people were friends and genuinely enjoyed being there.

Paige Sammarco

Account Executive, Uber Eats

What kinds of technical challenges do you and your team face?

One of the big challenges today with experimentation is around guaranteeing correctness, especially for small changes to ensure confidence in results. Was that change the cause of new behavior? Did other experiments get in the way? It all comes down to how accurately you can detect small changes within consumer behavior.

Azarias Reda

Head of Uber's Experimentation API team

What makes someone successful on your team?

"It’s not just about the individual contributor. The most successful people are the ones learning from others. On my team, I make sure that everyone shares best practices and we foster a collaborative culture. So when you’re on a call, you’re never really alone. And that applies to everyone."

Ali Faivus

Head of Mid-Market Sales

How do you empower your team to be more creative?

We make sure we don’t ship org structures, but rather aligned products. How can our products complement one another, building upon each other to achieve our primary goals? Whether it’s scheduling, routing, predictive analytics, or operational excellence, we are acting as one, and smartly leveraging our domains and strengths.

Joe Chang

Director of Engineering, Uber Freight

How does your team reward individual success?

I believe recognizing someone’s contributions are a big part of team play. On our weekly meetings, we always start with a shout-out, and it’s amazing how this simple topic stimulates the team to recognize small victories and accredit colleagues for their accomplishments. This brings our team together and fosters a more collaborative environment.

Silvia Penna

Sr Manager, Central Operations

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