Sr Staff Software Engineer, Risk Product Engineering at Uber (South Bay)

| South Bay
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About the Role
We build cutting edge real-time fraud detection and prevention systems that scale to millions of users leveraging large scale data, distributed systems, and advanced machine learning technologies.
The candidate will lead the problem identification and formulation, software design and architecture, and guide cross-functional product and engineering teams to deliver high impact technology solutions to address complex problems in risk and fraud domains.
About the Team
At Risk Product Engineering we tackle the challenging problem of fraud & abuse across the entire Uber Product space. We combine the power of human and machine intelligence to prevent fraud, abuse and anomalous behavior in the extended Uber Marketplace and drive down payment fraud loss across Uber payment instruments at global scale. We build scalable real-time fraud prevention systems that make billions of decisions every day and manage the transaction risk of billions of dollars worth every year.
As an engineer on this team, you will work with a talented and highly collaborative cross functional team of Engineers (backend and machine learning engineers), Risk Analysts, Data Analysts, Data Scientists, and Product. We're nimble and efficient, and we like to have fun!
What You'll Do
  • Design and develop scalable solutions to address fraud and abuse problems as well as drive better user experiences across Uber Products and Lines of Businesses
  • Work with cross functional teams (Product Managers, Data Scientists/Analysts, Program engineers, Machine Learning Engineers) to identify any product/functionality gaps, define the problem space, contribute to product requirement, design and develop system solutions.
  • Contribute to longer term technical roadmap and drive overall system architecture betterment for Risk product Engineering
  • Provide thought leadership including challenge the status quo when needed.
  • Be an owner and strive for excellence in your role

Basic Qualifications
  • Bachelor's degree in Computer Science or related technical discipline (or equivalent experience) w/ 8+ years experience.
  • Strong analytical and problem-solving skills. Taking on challenge problems and driving solutions.
  • Capable of creating structure and driving progress in an ambiguous environment
  • Demonstrated ability to contribute to long term technical vision, to scope, create and successfully deploy new technical strategies / initiatives / capabilities.
  • Deep technical expertise and proven technical leadership/technical influence across wide organization
  • Team player with good communication skills.

Preferred Qualifications
  • Previous experience with Risk, Fraud Detection
  • Experiences with Applied Machine Learning
  • Experience to interact with cross-functional teams from multiple geo-locations

About Uber
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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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