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 Staff Machine Learning Engineering Leader to optimize pricing and incentives in the Mobility Marketplace. You'll lead ML modeling teams and collaborate with cross-functional partners. This role requires advanced expertise in machine learning and data science.

Job Description

Who you are

You have a strong background in machine learning and data science, with a proven track record of leading teams to tackle complex marketplace challenges. Your experience includes mentoring and coaching both individual contributors and managers, fostering their technical and leadership growth. You are adept at shaping long-term product and technical visions, particularly in the context of mobility marketplaces. You excel in cross-functional collaboration, effectively communicating technical direction to stakeholders in product and business teams.

You possess a deep understanding of optimization and forecasting techniques, which you have applied in real-world scenarios to drive significant business impact. Your ability to translate strategic goals into actionable quarterly objectives is a key strength, ensuring that your team remains focused and aligned with the company's vision. You are committed to driving operational excellence, establishing metrics that enhance product and engineering performance.

What you'll do

In this role, you will lead a high-performing machine learning team focused on pricing and incentives within Uber's Mobility Marketplace. You will be responsible for building and scaling the team, attracting top talent, and refining team structures to optimize performance. Your leadership will guide ML modeling efforts, ensuring that your team effectively addresses large-scale applied machine learning challenges in forecasting and optimization.

You will collaborate closely with Data Science, Product, and Business teams to define and influence product strategy and roadmap. Your role will involve presenting team initiatives in leadership forums, effectively communicating your vision and representing engineering in strategic discussions. You will drive innovation by investigating open problems in marketplace optimization, ensuring that your team remains at the forefront of industry advancements.

Your responsibilities will also include translating strategy into execution, establishing practical quarterly OKRs that align with the company's objectives. You will drive operational excellence by setting metrics for product and engineering performance, ensuring that your team consistently meets and exceeds expectations.

What we offer

Uber offers a dynamic work environment where you can make a significant impact on the mobility marketplace. You will have the opportunity to work on some of the most strategic challenges at a global scale, directly influencing the business. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of mobility and making a difference in the lives of millions of users.

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