Machine Learning Engineer II - Engagement Optimization

About the Role

Uber has evolved from a simple ride-hailing service to a comprehensive platform that connects users with various on-demand services in their cities. The Uber One Membership team is dedicated to enhancing the user experience by providing a convenient and engaging platform that caters to all their 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 and expanding, Uber One has the potential to redefine the global membership landscape. Join us in shaping the future of Uber!

As part of this team in 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 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

• Design and build Machine Learning models responsible for large-scale applied machine learning in optimization and personalization.
• Build high throughput systems that process millions of datapoints each minute and serve hundreds of thousands of QPS
• Collaborate with Product, Science and cross-functional teams to brainstorm new opportunities and solutions for model and product iteration.
• Write high-quality code and uphold standards for testing and coverage.
• Align with the team on solutions to ambiguous problems and analyze the tradeoffs of different technical solutions
• Contribute to engineering cultivation in terms of quality, monitoring, and on-call practices.

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 & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https : / / www.uber.com / careers / benefits.

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.

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.

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