Software Engineer II, Android- Safety at Uber (San Francisco, CA)

| San Francisco, CA
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About The Team
Uber's Safety team sits at the core of our business and is redefining what it takes to be safe on the roads at global scale. Our mission is to prevent safety incidents and empower our users in every interaction they have with Uber's services. We use real-time telematics and motion sensing technologies along with machine learning algorithms and user-facing mobile products in order to prevent unsafe behaviors on the Uber platform. Our engineering challenges range from building facial biometrics recognition to low-latency data streaming infrastructure ingesting terabytes of data daily to brand-critical features such as SOS, audio recording and RideCheck.
About the Role
The team's work touches all parts of the Uber experience from dispatch to on-trip and post-trip, as well as the Uber ecosystem ranging from our rides business to other newer Uber marketplaces, and ventures. In this role, you will get to work closely with our product and design teams to build intuitive experiences and ship efficient, reliable, crash-free code that reaches millions of users. With standforsafety being a company priority, our team is uniquely positioned to define what it means to be a safe ride sharing/delivery platform and in the process, making safety a key competitive advantage for our brand.
• Build and own core Safety features for the users• Write tools to improve the reliability and performance of the Safety features• Track the success of your feature experiments, collaborating with Data Science, Design, and Product teams to iterate on delightful user experiences.
Basic Qualifications:
• Bachelor of Science (BS) in Computer Science, Physics, or Mathematics, or related field• At least two (2) years of software engineering experience• At least 2+ years of full-time Android engineering experience, with deep technical knowledge in Java and/or Kotlin• Strong focus on high-quality mobile UI experiences. • Experience working with product management and design teams along with analyzing a feature in production using analytics and experiments
Preferred Qualifications:
• Experience with analyzing a feature in production using analytics and experiments.• Experience with shipping efficient, reliable, crash-free code that reaches millions of users.
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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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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