Software Engineer - Maps Search and Places (Remote) at Uber

| South Bay +30 more | Remote
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Whether engineering more accurate ETAs or helping drivers navigate to the perfect pick-up spot, our mapping technologies are integral to the magic of the Uber platform. On the Maps Engineering team, we use the latest ML, GPS, and telematics solutions to make transportation on our platform safer and more accessible.
About the Role
  • Our mission is to make sure that riders and drivers meet seamlessly with least friction on either side by providing a legal, navigable and safe point and a label for every Uber trip/job through accurate localization of the user.
  • For a majority of the trips, user's don't provide input on the pickup location. They enter the destination, select a product (Uber X, Pool, etc) and request the ride. On the pickups side they expect Uber to do the needful to ensure that the driver can get to them.
  • We own the entire backend stack from the raw geospatial search to the presentation layer of the Helix Rider app and also own the platform services that power pickups and dropoffs for other products like Eats, Frieght and so on.
  • Projects span the entire spectrum from large scale distributed systems infrastructure that power to ML for identifying high quality pickup and dropoff spots as well as having a direct influence on the product experience for millions of users every day.
  • Tech stack: ML modeling (Python/Spark), Data pipelines (Spark - Java / Scala), Backend services (Java).

What You'll Do
We are a very small team of engineers responsible for determining a convenient origin and destination of all trips worldwide. We own the geospatial platform and backend services that power the pickup and dropoff experiences for all Uber jobs - be it Rides, Eats, or Freight!
As a backend engineer on this team you would help us build out this platform and scale it to the tens of thousands of queries we receive every second. You'd also contribute to the launch of new product features that directly impact the trip rendezvous experience between rider and driver. These features directly impact key business KPIs such as cancellations and time spent in rendezvous which impact the overall marketplace efficiency of Uber.
You will be working with some of the world's most experienced mapping professionals, data scientists, software engineers, and research scientists on a very user-facing product. This is your chance to develop cutting-edge technology that will make a huge impact on the efficiency of every Uber trip!
Basic Qualifications
  • Bachelor's degree in Computer Science or related technical field or equivalent practical experience
  • Experience coding with C++, Java, Python, or Go
Preferred Qualifications
  • At least five (5) years of software engineering experience
  • BS or MS in Computer/Information Science or Engineering
  • Experience with programming languages such as Go, Python, C++, Java
  • Experience implementing API and microservices
  • Experience shipping high-quality features on schedule
  • Experience building large scale distributed systems
  • Experience implementing projects with multiple dependencies
  • Experience with Machine Learning
  • Experience with Search, Information retrieval, and Ranking

For Colorado-based roles: The salary/hourly rate range for this role is $172,125 per year - $191,250 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award, commissions, & other types of comp. You will also be eligible for various benefits. More details about our company benefits can be found at the following link: https://www.uber.com/careers/benefits.Please refer to this role in our careers page for more details on your total compensation and benefits package. You can get there by clicking 'apply' if you're not already on our careers site.
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Candidate Location Eligibility:
Atlanta, GA
Austin, TX
Baltimore, MD
Boston, MA
Charleston, SC
Charlotte, NC
Chicago, IL
Colorado, CO
Dallas-Fort Worth, TX
Houston, TX
Las Vegas, NV
Los Angeles, CA
Miami, FL
Minneapolis–Saint Paul, MN
Nashville, TN
New York City, NY
Orlando, FL
Philadelphia, PA
Phoenix – Mesa – Scottsdale, AZ
Pittsburgh, PA
Portland, OR
Raleigh-Durham, NC
Sacramento, CA
Salt Lake City, UT
San Antonio, TX
San Diego, CA
San Francisco, CA
Seattle, WA
Tampa Bay, FL
Washington DC

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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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