Sr Staff Machine Learning Engineer - Ads
UberSan Francisco, United StatesPosted 5 March 2026
Tech Stack
Job Description
Sr Staff Machine Learning Engineer - Ads
Department: Engineering
Team: Machine Learning
Location: San Francisco, United States
Type: Full-Time
**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 als
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