Staff Machine Learning Engineer
Uber
Job ID: 1009434564638
Location: San Francisco, CA
Description:
**About the Role**
The Coordinated Structural Pricing and Simulator team is at the center of managing Uber's pricing and marketplace balance all over the world. Our team is responsible for controlling the balance of Mobility pricing in order to aggressively achieve growth, while maintaining a healthy marketplace. We achieve this goal by employing a variety of techniques, including machine learning, experimentation and causal-ML, economic modeling, and simulation and optimization. Our problem space sits at the intersection of machine learning and economics, and is a unique opportunity to leverage rich data to build high-quality simulations and do sophisticated policy optimizations. We are actively working on a new pricing and simulation tech focused on highly accurate forecasting and exploring many different avenues for simulation, both ML-driven and structural economics-driven. We are looking for candidates who are proficient in coding and building numerical models and simulation, as well as those who have prior experience in one or more of the areas: experimentation and causal ML, economic modeling, supervised machine learning, and reinforcement learning.
For New York, NY-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & 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.
Remote: False
Min Salary: 218000
Max Salary: 242000
Salary Frequency: yearly
Posted Date: 2024-09-05
URL: https://www.glassdoor.com/job-listing/j?jl=1009434564638
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