This role pays more than
59%
of similar roles. Most pay
$195,000–$249,753
— the shaded band above.
At the midpoint, this role pays about
$232k
versus about
$222k
for comparable roles.
Based on 240 similar postings.
Employer
About Uber
Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.
Uber currently has
289 open roles
on FindRole.
Listed pay typically runs
$209,000–$209,000
across 76 roles with salary data.
As a Staff Machine Learning Engineer on the Rider Experience team in Seattle, you will lead and mentor a team of engineers to build and optimize intelligent systems for rider discovery and booking experiences. You will define technical strategies and develop end-to-end ML solutions for large-scale distributed systems that serve billions of trips globally. Your role involves designing robust model architectures, aligning business objectives with stakeholder needs, and guiding the full development lifecycle from ideation to deployment. Ideal candidates have a strong background in machine learning, experience leading cross-functional projects, and expertise in areas like search, recommendation systems, ranking, and representation learning. You will work closely with product, science, operations, and platform teams to drive impactful solutions that enhance rider experiences at scale.