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...

Overview

Uber is hiring a Senior Applied Scientist for their UberEats Applied AI team to design and implement machine learning algorithms that enhance marketplace algorithms. You'll work with technologies like Deep Learning and Reinforcement Learning in Sunnyvale.

Job Description

Who you are

You have a strong background in machine learning and have spent several years designing and implementing algorithms that solve complex problems in real-world environments. Your experience includes navigating multi-sided ecosystems where performance, safety, and scale are critical. You thrive in high-stakes situations and are motivated by the impact your work has on users and the business.

You are adept at collaborating across disciplines, including Product, Engineering, and Data Science, to translate high-level business goals into technically sound roadmaps. Your expertise in deep learning and reinforcement learning allows you to apply the latest advancements in AI to practical challenges. You are comfortable with ambiguity and can design sophisticated experiments that go beyond standard A/B testing.

What you'll do

As a Senior Applied Scientist at Uber, you will take ownership of foundational machine learning initiatives, focusing on optimizing feature engineering for high-scale, real-time systems. You will design and implement machine learning algorithms that unify competing business interests into a single value space, ensuring that both organic relevance and sponsored content are effectively balanced.

You will act as the science lead for various machine learning projects, unblocking technical debt and ensuring that your solutions are robust and scalable. Your role will involve navigating the complexities of user behavior and designing experiments that provide insights into user interactions with the platform. You will collaborate closely with engineers to architect the next generation of recommendation systems, balancing technical rigor with the pressures of real-world traffic and shifting business priorities.

In this role, you will also be responsible for researching and applying advancements in AI, including generative AI, to solve complex problems that arise in the marketplace. Your work will directly impact the business, and you will have the opportunity to grow your skills and influence the direction of AI initiatives at Uber.

What we offer

Uber provides a dynamic work environment where you can tackle challenging problems and make a real impact. You will have the opportunity to work with a talented team of professionals who are passionate about technology and innovation. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Our culture emphasizes collaboration, and we expect employees to spend at least half of their work time in the office unless formally approved for remote work.

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