Sr Staff Machine Learning Engineer - Ads

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.