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Uber

Staff Machine Learning Engineer

Uber

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

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Role Highlights

Languages used

Python
GO
Java
SCALA
Objective-C

Key skills

Deep Learning
Reinforcement Learning
Machine Learning
ML Ops
Recommender Systems
Computer Science
UX
Distributed Systems
Operations Research
Streaming Data
Reliability
Modelling
Statistics
Optimization
Infrastructure
Economics
Mathematics
Quantitative
Testing
Deployment
Inference
ProtoTyping

Tools, Libraries and Frameworks

Spark SQL
JAX
Presto
Git
Tensorflow
PyTorch
Scikit-learn
ADS

Description

The role involves developing and optimizing machine learning models to enhance foundational marketplace signals such as ETA predictions and demand forecasts. The individual will build centralized and scalable systems to improve operational efficiency and reduce technical debt across the platform. Collaboration with cross-functional teams is required to ensure these signals effectively inform pricing and matching decisions. The position entails working with real-time streaming data and large-scale distributed systems to maintain high-quality metrics. Furthermore, the role requires leveraging advanced modeling techniques to refine signals and ensure responsiveness to market dynamics.

Required Qualifications and Skills

Candidates must possess a Ph.D. or M.S. in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or Operations Research. A minimum of six years of industry experience in machine learning, specifically in building and deploying models at scale, is required. Proficiency in programming languages like Python, Java, and Scala, alongside ML frameworks such as TensorFlow and PyTorch, is necessary. Additionally, candidates must demonstrate a solid understanding of MLOps practices and possess strong business and product sense to translate complex problems into actionable metrics.

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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