Uber
Bangalore
Internet
About the Role
The Global Intelligence Team focuses on improving Uber network efficiency and relative position in the category with better data and algorithms. The ambitious problems include benchmarking Uber’s position in the category, modeling complex market-level dynamics, rider and driver choices, cross-service decisions across rides/eats, and fine-tuning Uber’s pricing with data/algorithms from this team.
As an engineer you will have a lot of opportunities to work with product managers, data scientists and of course engineers from other teams. You will participate the whole development cycle of a software product from product scoping, architecture design, software implementation, to productionization, and learn how to iterate a product for greater success. We own a few products that directly impact Uber’s bottom line. We are a data driven team, and you will be able to see the impact of your work reflected in Uber’s earning report, such as gross booking and trips. The least thing you need to worry about is scope and visibility. We have many different roles in the team, and need a broad range of skills such as machine learning, big data, optimization, and infrastructure. This is a unique opportunity to grow your career and do highly impactful fun things at the same time.
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do –
Lead the machine learning effort in Global Intelligence
Drive open-ended projects from end to end, with exceptional execution.
Thrive in ambiguous product requirements.
Collaborate with Product Managers and Data Scientists closely.
Make data driven decisions.
Be motivated to own projects and push them forward with independence. Most importantly, have a passion to make Uber better for our riders.
- Basic Qualifications –
10 Minimum Years of industry experience with a degree in relevant fields (CS, EE, Math, Stats, Physics, etc.)
3 Minimum Years on Machine Learning, Statistics, Optimization and Data Mining.
Expertise in one or more object-oriented languages, including C++, Java, Python, Go or Scala.
- What the Candidate Will Do –
Experience in simplifying/converting business problems into ML problems.
Experience in large scale causality learning and/or deep learning.
Experience developing complex software systems scaling to millions of users with production quality deployment, monitoring and reliability.
Experience presenting at industry recognized ML conferences and a good publishing record.
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.
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