Principal Engineer - Driver Pricing & Marketplace Optimization

About the Role

Are you passionate about shaping business and product strategy through the power of data? Do you thrive on solving complex problems and uncovering actionable insights that drive innovation?

Principal engineers at Uber have a deep impact across a wide variety of business and technology decisions spanning multiple programs, projects and locations. They are passionate and pragmatic technologists who are able to design and architect highly-available, secure scalable and resilient systems while delivering efficient code. They are not only collaborative role models, but also approachable leaders with a point of view within a larger group. They are humble teachers, technically mentoring a team of passionate engineers while also delivering uniquely challenging projects. A Principal-level Engineering role at Uber is special, representing the top 2% of Engineers at Uber.

The Marketplace Engineering team is looking for an exceptional Principal Engineer to lead breakthrough ML innovation in Uber’s Driver Pricing organization. This is a high-impact role where you’ll architect and build next-generation ML systems that directly optimize marketplace efficiency and driver earnings for millions of drivers globally.

You’ll tackle some of the most complex problems in applied machine learning : real-time pricing optimization, supply-demand balancing, and driver behavior modeling at unprecedented scale. Your work will involve cutting-edge techniques including causal inference, reinforcement learning, algorithmic game theory, and multi-objective optimization to solve challenges that don’t exist anywhere else in the industry.

As a Principal Engineer reporting directly to the Engineering Director, you’ll drive technical strategy, mentor senior engineers, and establish ML engineering excellence across the Driver Pricing organization while solving problems that directly impact tens of billions of dollars in marketplace transactions.

What You’ll Do

Technical Leadership & Innovation

• Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
• Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
• Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
• Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
• Develop and enforce best practices in system design, ensuring data integrity, security, and optimal performance
• Serve as a representative for the Marketplace organization to the broader internal and external technical community
• Contribute to the eng brand for Marketplace and serve as a talent magnet to help attract and retain talent for the team
• Stay abreast of industry trends and emerging technologies in software engineering, focused particularly on ML / AI, to enhance our systems and processes continually

Platform & Architecture

Cross-Functional Impact

Team Development

What You’ll Need

Bonus Points If

Why This Role Matters

Your ML innovations will directly impact :

What We Value

Location

Preferred locations (in order of preference) :

About the Team

The Uber Marketplace is designed to move riders & drivers efficiently from where they are to where they want to go. Every dollar that is transacted in the Uber Marketplace (driver forecasting, dynamic pricing fares, matching driver / rider pricing, and overall marketplace health) is informed and influenced by data – and our Data Science team understands, analyzes, and helps design the algorithms that enable millions of earners and consumers to ride, deliver, eat, and move daily.

Uber operates in a constantly-evolving and competitive environment, across a diverse set of markets and product categories. Assessing the success or failure of a product or investment strategy depends on deeply understanding this context and quantifying the impact with thoughtfully-defined success metrics. Doing this - and doing it well - at Uber’s global scale is an interesting and complex problem with meaningful impact on our P&L.

The Marketplace Science & Engineering team applies their expertise in statistical modeling, machine learning, economics, data analysis, and business strategy to build scalable data platforms, generate actionable insights, and drive our algorithm and product development decisions.

For Canada-based roles : The base salary range for this role is CAD$270,000 per year - CAD$300,000 per year.

For New York, NY-based roles : The base salary range for this role is USD$284,000 per year - USD$315,500 per year.

For San Francisco, CA-based roles : The base salary range for this role is USD$284,000 per year - USD$315,500 per year.

For Seattle, WA-based roles : The base salary range for this role is USD$284,000 per year - USD$315,500 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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