Machine Learning Engineer II

Overview

We are looking for candidates with a passion for solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in machine learning, statistics, and operations research to improve the Uber user experience as well as overall marketplace performance. You will join the Mobility Marketplace organization to design, evaluate, and build promotional products for drivers. Key responsibilities include designing incentive structures for drivers, measuring the causal impacts of promotions, and creating ML-driven optimizations for marketplace growth.

Responsibilities

• Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).
• Collaborate with cross‑functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
• Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.
• Leverage cutting‑edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.

Basic Qualifications

Preferred Qualifications

Salary & Compensation

For New York, NY‑based roles : The base salary range is USD$167,000 per year – USD$185,500 per year.

For Seattle, WA‑based roles : The base salary range is USD$167,000 per year – USD$185,500 per year.

For Sunnyvale, CA‑based roles : The base salary range 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 comp. You will also be eligible for various benefits. More details can be found at https : / / www.uber.com / careers / benefits.

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