Staff Machine Learning Engineer - Rider Intelligence

Uber

Seattle, WA

JOB DETAILS
SALARY
$232,000–$258,000 Per Year
LOCATION
Seattle, WA
POSTED
30+ days ago
**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 https://jobs.uber.com/en/benefits. Uber is proud to be an Equal Opportunity/Affirmative Action 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

About the Company

U

Uber

We ignite opportunity by setting the world in motion

Good things happen when people can move, whether across town or towards their dreams. Opportunities appear, open up, become reality. What started as a way to tap a button to get a ride has led to billions of moments of human connection as people around the world go all kinds of places in all kinds of ways with the help of our technology.

We’re building something people use every day. From how you get home from work, to how you eat meals, or how you move huge shipments of absolutely anything, the work we contribute moves the world a few steps forward. And that’s one of the best parts about working here—knowing that the work you do helps shape the future.

And getting to that bright future means solving some of the most difficult problems of the present. It takes a lot of hard work, a lot of love, and support from colleagues all over the world. At Uber, we have brought together a world-class collective of problem-solvers. And we all fundamentally understand that tough challenges help us personally grow the most. That’s why we wholeheartedly believe in learning by doing—and that there is no better classroom than real-world experience. Because if it helps you grow, then we all grow. Together.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Other/Not Classified
FOUNDED
2009
WEBSITE
https://www.uber.com/