Staff Machine Learning Engineer - Rider Intelligence

About the Team

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. 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. 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.

About the Role

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. 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. The role requires technical chops as well as strong communication & leadership skills.

What You'll Do

- Define and execute technical strategies, spanning from model and system architecture to business objectives and stakeholder alignment.
- Lead the design, development, and production of end-to-end ML solutions for large-scale distributed systems serving billions of trips.
- Lead and mentor a team of Machine Learning Engineers (MLEs), providing technical leadership, setting the vision, and guiding the team through the full development lifecycle-from ideation to model deployment and scaling.

Basic Qualifications

- Ph.D., M.S. or Bachelor in Computer Science, Mathematics with focus on Machine Learning, or equivalent technical background with exceptional demonstrated impact
- 8+ years experience leading the development and deployment of ML models in large-scale production environments at top-tier ML companies

Preferred Qualifications

- Expertise in search, recommendation systems, ranking/retrieval, or representation learning is highly desirable.
- Proven experience in ranking optimization across heterogeneous content types.
- Demonstrated success in leading cross-functional projects that deliver significant business impact.

For Seattle, WA-based roles: 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link [](;br>
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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](;br>
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.