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# Software Engineer II

- **Company:** Uber
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** IOS Applications, Apple IOS, Statistical Hypothesis Testing, Open Source Technology, Software Engineering, WebKit, Backend, Information Technology, Data Analytics, Objective C++
- **Published:** June 27, 2026
- **Apply:** https://dejobs.org/x/x/71419715E00F473FB57428FA53520687/job/

## About the Role

1. Bachelor's degree in Computer Science or related technical field or equivalent practical experience
 2. 2+ years of experience in professional software development experience, developing and deploying systems in production environments
 3. Strong experience in either Native iOS / iOS Swift / iOS Objective-C
 4. Experience with writing, releasing, and maintaining mobile code
 5. Experience analyzing a feature in production using analytics and experiments
 6. Experience efficiently collaborating on projects

Preferred Qualifications

 1. Buck/Bazel
 2. WebKit experience
 3. Cross-platform (Android and iOS)
 4. Contributions to the iOS community via open source

## Description

Uber Eats is our food delivery platform that makes getting great food from your favorite local restaurants as easy as requesting a ride. As an iOS engineer on Eats, you'll be building amazing design and data-driven features for eaters, couriers, and restaurants. The goal of these products is to provide affordable everyday options and optimal experiences for all sides of the Eats marketplace. You will continually strive to unlock greater efficiency and revenue for courier/restaurant partners, and improve the overall efficiency of the UberEats marketplace.

What the Candidate Will Do

 1. Solve complicated problems with groundbreaking design and algorithms.
 2. Work closely with backend engineers and cross-platform developers to build Engagement Growth platform and a seamless user experience.
 3. Partner with Product, Design, and Research teams to understand product ideas and business needs and help deliver these as a series of experiments.
 4. Come up with the right architecture and design for ideas and experiments to quickly scale.
 5. Good understanding of software experimentation philosophy in the earlier work with an understanding of setting up A/B experiments for hypothesis testing.
 6. Build instrumentation in the experiments, understand and mine insights, and investigate these to help product with data-driven decisions from experimentation.


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