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Uber

Senior Staff Engineer, Matching & Segmentation

Uber

Published 16 May 2026
San Francisco, CA, USA
267K - 297K USD Annual
Full Time

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Role Highlights

Languages used

GO
Java
Python

Key skills

Reinforcement Learning
Machine Learning
Computer Science
Product Management
Product Development
Distributed Systems
Data Management
System Design
Data Quality
Operating Systems
Staff Engineer
Optimization
Architecture
Forecasting
Infrastructure
Reliability
Automation
Deployment
Backend
Operations
PhD
Testing
Debugging

Tools, Libraries and Frameworks

Description

The role involves architecting and evolving machine learning-powered systems that facilitate real-time matching between riders and drivers. The individual will lead technical direction for matching algorithms, segmentation models, and forecasting systems within the marketplace infrastructure. Responsibilities include designing and deploying optimization systems to solve large-scale business problems. The position requires leading complex, cross-organizational projects and collaborating with product and science teams to define technical strategy. Additionally, the role focuses on improving system reliability, performance, and scalability while mentoring engineers to foster technical excellence.

Required Qualifications and Skills

Candidates must possess a Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, with a Master's or PhD preferred. Applicants are required to have 8-10 or more years of professional software development experience in production environments. Necessary expertise includes backend development, distributed systems, and system design for large-scale, low-latency applications. Furthermore, the role requires demonstrated experience with machine learning systems, optimization algorithms, or real-time decision systems. Strong communication skills and a proven ability to lead complex, multi-team technical initiatives are essential.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Uber

Size

90122

HQ

San Francisco, US

Public/Private

Public Company

Description

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. Its our lifeblood. It runs through our veins. Its what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. Weve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. Weve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

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