Senior Computer Vision Engineer - Uber AI at Uber (South Bay)

| South Bay
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About the Team
Uber AI is an integrated technology and research organization. The mission of Uber AI is to make AI and machine learning maximally impactful at Uber by pushing the frontiers of research, developing high quality scalable platforms, and collaborating on innovative applications. To further this mission, the group brings together AI-focused engineering, product, and research teams under a single umbrella to ensure cutting-edge AI innovation is rapidly transferred into company-wide platforms, accelerating Uber's positive impact on the world.
Our team at Uber AI is building Uber's computer vision platform to democratize the technology at Uber. The team is rapidly growing, and is responsible for developing state of the art computer vision and machine learning solutions to derive inferences from image/video data on our platform that directly drive efficiencies across the company.
What You'll Do:
  • Develop innovative CV solutions for challenging business problems that are fundamental for Uber
  • Partner with product teams to analyze key business problems
  • Collaborate with data science and engineering teams to integrate and validate computer vision solutions end-to-end
  • Deliver enduring value in terms of software and modeling artifacts

Basic Qualifications:
  • Masters in EE, CS or related disciplines
  • 5+ years of industry/academic experience
  • Expertise with computer vision and/or machine learning, especially deep learning.
  • Familiarity with deep learning frameworks such as Tensorflow, Keras, Pytorch

Preferred Qualifications:
  • PhD in computer vision or machine learning
  • Experience in applying machine learning & computer vision to resource constrained devices (such as mobile phones)
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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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