Staff Machine Learning Engineer, Ads ML Efficiency
- Where you can live
- Remote - United States
- Working hours
- Overlap with UTC-10 to UTC-5
- Salary
- USD 230,000 to 322,000 per year
- Posted
- October 1, 2026
Summary from the posting
The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale. We focus on improving developer productivity, reducing infrastructure costs, increasing hardware utilization, and accelerating experimentation across the company’s ML ecosystem.
Responsibilities
- Design and build systems that improve the efficiency of ML training and inference workloads.
- Develop tooling that helps ML engineers debug, profile, optimize, and monitor model performance.
This is a short summary. The full description, requirements and the application form are on Reddit's own career page.