Uber

About Uber

Reimagining transportation for a better world

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mission Bay, San Francisco, CA💰 $15.8b3.9
B2CTravelMarketplaceTransportRidesharingDelivery

Key Highlights

  • Public company (NYSE: UBER) since May 2019
  • Completed over 1.5 billion trips globally
  • Generated $4.8B in revenue from Uber Eats in 2020
  • Raised $15.8 billion in funding

Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...

🎁 Benefits

Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...

🌟 Culture

Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...

Uber

Machine Learning Engineer Staff

UberNew York - Hybrid

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Overview

Uber is hiring a Staff Machine Learning Engineer for their Ads team to design and evolve core ML systems for ad selection and delivery. You'll work with technologies like Python and AWS to improve model quality and efficiency. This role requires significant experience in machine learning and system integration.

Job Description

Who you are

You have extensive experience in machine learning, particularly in designing and implementing models that drive ad ranking and pricing systems at scale. Your expertise in Python and familiarity with cloud platforms like AWS enable you to build robust ML systems that meet strict performance criteria. You understand the complexities of online inference and have a proven track record of delivering high-quality ML solutions that impact user experience and revenue.

You thrive in collaborative environments, working closely with product, infrastructure, and platform teams to ensure seamless integration of ML systems. Your strong analytical skills allow you to derive insights from data, driving improvements in model performance and system reliability. You are passionate about leveraging machine learning to solve complex problems and enhance the effectiveness of advertising strategies.

What you'll do

In this role, you will lead the design and evolution of machine learning models that power Uber's ad ranking, pricing, and auction systems. You will own the end-to-end ML systems, including training pipelines and low-latency online inference for both real-time and batch use cases. Your responsibilities will include defining the technical roadmap for Ads ML, ensuring that systems operate under strict latency and reliability constraints while serving billions of predictions.

You will collaborate with cross-functional teams to implement next-generation recommendation architectures, enabling significant improvements in model quality and serving efficiency. Your role will also involve raising the bar on observability and reliability of online ML systems, ensuring that they meet the high standards expected in a fast-paced environment. You will play a critical role in delivering scalable and measurable ad recommendations that drive Uber's Ads business forward.

What we offer

Uber provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work on impactful projects that directly influence the company's advertising strategies. We offer competitive compensation and benefits, along with a culture that values collaboration and continuous learning. You will be part of a team that is dedicated to pushing the boundaries of machine learning in the advertising space, making a significant impact on user experience and advertiser performance.

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