Machine Learning Engineer II

About The Role

Uber Marketplace is at the core of Uber's business, and Delivery Pricing is a strategically critical component of Marketplace. The mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning, data science, and economics and developing highly reliable and scalable platforms to accelerate Uber's impact on the transportation industry. This role will drive high‑impact projects to optimize pricing at Uber using optimization, machine learning, and causal inference. We are looking for individuals who not only excel in problem solving and critical thinking, but also are interested and proficient in writing production code, converting ideas to scalable systems.

What You Will Do

• Problem Formulation : Partner with Scientists, Product Managers, and stakeholders to translate ambiguous business challenges into concrete ML formulations, system designs, and data requirements
• Build & Deploy : Design, build, and deploy the end‑to‑end infrastructure and services that power our real‑time pricing models at a global scale
• Productionize ML : Own the full production lifecycle of machine learning models. This includes building scalable training / inference pipelines, optimizing models for low‑latency serving, and setting up robust monitoring to ensure system health and reliability
• Engineer Data : Develop and maintain the complex feature engineering pipelines that feed our models, working with both batch and near‑real‑time data sources

Basic Qualifications

Preferred Qualifications

Compensation and Benefits

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

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