Uber Corporate

Staff Machine Learning Engineer - Rider Intelligence

Seattle, Washington, USA · Staff+ · Full-time

Sponsorship not specified$232k-$258kDetected 82 days ago

Distributed SystemsMachine LearningLeadershipCommunicationCollaboration

About the role

There are many different types of users, opening the app in many contexts, and we need to match them to the many services and content we have available.
We actively explore algorithmic improvements to how we help millions of riders find and discover the right products every hour to move around the world, and power smart and intuitive experiences for them.
They are not only collaborative role models but also approachable leaders, humble teachers while also effective in helping the team in project execution.

You will work with talented people in product, science, operations, and platform teams to help build and optimize our Rider Experience products.
Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress.
Rider Experience drives and enables the critical trip booking funnel within the Rides app that makes up almost all of the trip transactions and contributes tremendously to business growth.

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.
The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
You will also be eligible for various benefits.
Staff Machine Learning Engineers at Uber are passionate and pragmatic technologists who are able to translate business insight and goals into well-formulated ML projects and scalable solutions to deliver impact.

This listing is sourced directly from Uber Corporate's careers page and normalized into a canonical job model.