Machine Learning Engineer II - Engagement Optimization
Uber
About The Role
Uber has evolved from a simple ride‑hailing service to a comprehensive platform that connects users with various on‑demand services. The Uber One Membership team is dedicated to enhancing the user experience by providing a convenient and engaging platform that caters to all needs. Uber One Members enjoy exclusive benefits, including the best price, selection, priority, and perks, all in one place. With a growing membership base of over 30 million, Uber One has the potential to redefine the global membership landscape. Join us in shaping the future of Uber!
As part of the Membership Engagement organization you will work with a team of talented engineers contributing to cutting‑edge efforts developing optimization solutions using real‑time and machine‑learning signals to solve complex, strategically important challenges. You will participate in the full development cycle from ideation to architecture design, ML model development to implementation, to production release. You will collaborate closely with diverse stakeholders like data scientists, product managers, and business leaders in a results‑oriented environment delivering projects that directly impact Uber’s top and bottom line—impacting millions of people around the world.
What You Will Do
Basic Qualifications
Preferred Qualifications
For San Francisco, CA‑based roles : The base salary range for this role is USD$167,000 per year – USD$185,500 per year. For Sunnyvale, CA‑based roles : The base salary range for this role is USD$167,000 per year – USD$185,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award and other types of compensation. You will also be eligible for various benefits. More details can be found at the following link : https : / / www.uber.com / careers / benefits.
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Machine Learning Engineer • San Francisco, CA, United States