Senior Machine Learning Engineering Manager - Pricing & Incentives

Uber; San Francisco (CA); On-site; USD 257,000 - 286,000; Full time

Job summary

Uber is seeking a Senior Machine Learning Engineering Manager for their Mobility Marketplace team in San Francisco. This pivotal role focuses on optimizing pricing and incentives, managing high-performing teams, and driving strategic product development. Ideal candidates will have extensive experience in software development and team leadership, contributing to critical marketplace challenges.

Benefits

Bonus program

Equity award

Various benefits

Qualifications

• 10+ years of software development experience.
• 3+ years of experience as a people manager.
• Experience leading teams managing production optimization systems.

Responsibilities

• Build and scale a high-performing team by attracting top talent.
• Lead ML modeling teams responsible for large-scale applied machine learning.
• Collaborate cross-functionally with Data Science, Product, and Business.

Skills

Analytical skills

Problem-solving

Communication skills

Education

MS/PhD in Computer Science

Job description

Senior Machine Learning Engineering Manager - Pricing & Incentives

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About The Role

This role sits within Uber's Mobility Marketplace team, focusing on pricing and incentives. The team optimizes pricing and incentives to balance the market, maximize revenue, and adapt dynamic trip pricing to marketplace conditions. You'll work on some of Uber's most strategic marketplace challenges at a global scale, directly impacting the business.

About The Role

This role sits within Uber's Mobility Marketplace team, focusing on pricing and incentives. The team optimizes pricing and incentives to balance the market, maximize revenue, and adapt dynamic trip pricing to marketplace conditions. You'll work on some of Uber's most strategic marketplace challenges at a global scale, directly impacting the business.

What You Will Do

• Build and scale a high-performing team by attracting top talent and refining team structure. Mentor and coach ICs and managers for both technical and leadership growth.
• Lead ML modeling teams responsible for large-scale applied machine learning in forecasting and optimization.
• Shape long-term product and technical vision for the mobility marketplace.
• Collaborate cross-functionally with Data Science, Product, and Business to drive technical direction in systems and modeling frameworks.
• Define and influence product strategy and roadmap in partnership with Product and Business teams.
• Communicate vision effectively, representing engineering in leadership forums and strategic discussions.
• Translate strategy into execution with practical quarterly OKRs.
• Drive operational excellence by establishing metrics for product and engineering performance.
  
  

Job Requirements

• Collaborate with marketplace teams (e.g., rider pricing, matching) and cross-functional orgs (platform, earner teams).
• Drive innovation and investigate open problems in marketplace optimization.
• Present team initiatives in leadership forums.
  
  

Basic Qualifications

• MS/PhD in Computer Science or equivalent experience.
• 10+ years of software development experience.
• 3+ years of experience as a people manager.
• Proven ability to work in and contribute to cross-functional teams.
• Experience leading teams managing production optimization systems (e.g., recommendation, search).
• Strong analytical skills.
• Hands-on experience with ML and optimization systems.
  
  

Preferred Qualifications

• Strong organizational skills with experience in large, cross-functional teams.
• Excellent problem-solving, critical thinking, and communication skills.
• Deep understanding of CS fundamentals, software engineering principles, and development methodologies.
• Experience managing managers.
• Experience deploying ML technologies into products.
• Strategic thinker with a track record of driving technical and organizational innovation.
  
  

For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Internet Marketplace Platforms

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