Staff Machine Learning Engineer – Pricing & Incentives

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.

About the Role: The role will be within the pricing and incentives domain in Uber’s marketplace team. The team charter spans incentive allocation and optimization to balance the market and optimize revenue, and dynamic trip pricing based on marketplace conditions. The role will provide an opportunity to work on some of the most strategic marketplace problems at Uber scale that impact Uber’s global business very directly.

What You Will Do:

• Work with product, data science, and engineering leadership to shape the technical roadmap and problem formulations for the team.
• Leverage algorithmic knowledge in machine learning, optimization, and statistics to design robust engineering solutions to positively impact Uber’s business.
• Shape the Machine Learning Engineering (MLE) role and uplevel MLE talents in the organization.
• Be responsible for the end-to-end product lifecycle, including machine learning model pipeline and system design, implementation, AB testing, and rollout.
• Work with the team to productionize solutions at scale.

Basic Qualifications:

• PhD or equivalent in Computer Science, Engineering, Mathematics, or a related field.
• 4+ years of full-time Machine Learning Engineering work experience in leveraging machine learning, statistics, and optimization to build models in production.
• Collaborative mindset with the ability to work well with and contribute to a broader team.

Preferred Qualifications:

• Experience building algorithms with large-scale data.
• Track record of building large-scale, highly-available systems for both batch and streaming.
• Deep domain expertise as a recognized specialist in one or multiple areas such as reinforcement learning, personalization, or deep learning.
• Experience in combining observational data with experimental data for building causal models.
• Experience working on large-scale Machine Learning platforms.

Compensation and Benefits: For San Francisco, CA- and Sunnyvale, CA-based roles, the base salary range is USD $232,000 per year to USD $258,000 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. All full-time employees are eligible to participate in a 401(k) plan and will also be eligible for various benefits.

Work Environment: 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. Please speak with your recruiter to better understand in-office expectations for this role.

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.

• Job Category: Engineering & IT