Uber
AI

Sr Staff Machine Learning Engineer - Ads

Uber · San Francisco, CA, US · $267k - $297k

Actively hiring Posted 4 months ago

About the Role

Ads is a growing business at Uber. As part of this team, you will get an opportunity to influence the evolution of ads platform while delivering a lot of impact. You will provide technical leadership, and drive technical direction for the ads delivery area. You will work with cross-functional teams to find opportunities and implement enhancements to improve consumer experience and unlock value for advertisers and Uber.

Technical Leadership & Innovation

  • Lead the design and implementation of advanced ML systems for all ads products at Uber
  • Own end-to-end ML model lifecycle from research through production deployment and continuous optimization

Platform & Architecture

  • Build scalable ML architecture and feature management systems supporting ads marketplace
  • Establish ML engineering best practices, monitoring, and operational excellence across the organization
  • Create platform abstractions that enable other ML engineers to iterate faster on improvements

Cross-Functional Impact

  • Collaborate with ads marketplace product and science teams to productionize cutting-edge ML research
  • Work with platform engineering teams to ensure ML systems meet reliability and performance standards
  • Influence technical roadmaps across multiple teams through technical leadership and strategic thinking

Team Development

  • Mentor and grow senior ML engineers, establishing technical standards and engineering culture Lead technical discussions and architecture reviews for complex ML systems

For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

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Fulltime Machine Learning Ai
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