Uber

Staff Machine Learning Engineer - Rider Intelligence

Uber
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1 day ago

Base Salary

$232k - $258k/yr

Responsibilities

  • Shape the technical and scientific direction of homepage personalization and recommendation systems.
  • Lead development of sequential recommendation models, intent-aware ranking, and LLM-based and agentic solutions.
  • Partner with cross-functional product teams to improve personalized user experiences and business outcomes across Uber’s business lines.
  • Drive engineering excellence and influence technical decisions across teams.
  • Mentor ML engineers at various levels.
  • Optimize multi-objective ranking systems across engagement, conversion, revenue, and long-term user value.

Requirements

  • Deep expertise in machine learning, deep learning, and recommendation systems, including ranking, sequential modeling, and transformer architectures.
  • Strong programming skills in Python with hands-on experience using PyTorch or TensorFlow.
  • Proven experience leading complex machine learning initiatives, delivering measurable business impact, and influencing technical direction across teams.
  • Preferred: 8+ years of industry experience designing, developing, and deploying machine learning models in large-scale production environments.
  • Preferred: Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • Experience with transformer-based sequential modeling, generative recommendation, and foundation models for personalization.
  • Experience applying LLMs and agentic AI to personalization, recommendation, or user intent understanding.
  • Research contributions through top-tier ML conference publications, patents, or successful application of novel ML techniques in production.

Benefits

  • Base salary range of USD $232,000-$258,000 per year for San Francisco, Seattle, and Sunnyvale roles.
  • Eligibility for Uber’s bonus program and potential equity awards and other compensation.
  • 401(k) plan eligibility for full-time employees.
  • Eligibility for various benefits.

Tech Stack

PythonPyTorchTensorFlow

Categories

Uber

About Uber

10,000+ employees

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. It’s our lifeblood. It runs through our veins. It’s 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. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve 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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