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Uber

Staff Machine Learning Engineer

Uber

Published 16 May 2026
San Francisco, CA, USA
232K - 258K USD Annual
Full Time

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Role Highlights

Languages used

C++
Java
Python
GO

Key skills

Reinforcement Learning
Machine Learning
Data Science
Computer Science
Problem Solving
Data Structures
Critical Thinking
Economics
Optimization
Inference
AI
PhD
Mathematics

Tools, Libraries and Frameworks

Tensorflow
PyTorch
Caffe
Scikit-learn

Description

The role involves driving high-impact projects to optimize rider and driver matching through the application of optimization, machine learning, and causal inference. The individual will build elastic, scalable, and fault-tolerant distributed machine learning libraries and systems to enhance development productivity. Collaboration with the broader machine learning and artificial intelligence platform team is required to improve the existing ecosystem. The position also entails working with the internal community to scope and develop new abstractions for scalable machine learning. The role focuses on converting complex ideas into reliable production code and scalable systems.

Required Qualifications and Skills

Candidates must possess a PhD or equivalent degree in Computer Science, Engineering, Mathematics, or a related field. A minimum of five years of industry experience is required, with a preference for those having eight to ten years of experience. Proficiency in programming languages such as C, C++, Java, Python, or Go is necessary. Applicants must demonstrate expertise in large-scale training, data structures, algorithms, and modern machine learning techniques.

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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