Sr. Principal Machine Learning Engineer

Comcast's Universal Ads is seeking a Sr. Principal Machine Learning Engineer to lead the design and implementation of their machine learning stack. This role involves architecting systems for performance advertising and collaborating across teams to develop a robust infrastructure for efficient ad delivery.

Responsibilities:

• Set vision and technical direction for the long-term ML strategy and roadmap for ad ranking at Universal Ads, including model architecture, infrastructure, and deployment frameworks
• Architect and scale distributed ML systems capable of real-time decisioning across high-throughput ad environments
• Partner with product and marketplace teams to align model performance with user and advertiser outcomes
• Drive technical direction for cross-functional initiatives involving bidding algorithms, pacing, and system optimization
• Shape technical culture, and ensure high standards for research rigor, reproducibility, and code quality
• Establish strong experimentation and evaluation frameworks (A/B testing, counterfactual analysis, etc.) for model validation and pacing control
• Represent Universal Ads externally in technical forums, publications, or conferences to shape the broader conversation around ML in advertising
• Design and own ML data pipelines end—to-end, ensuring data cleanliness and freshness, and establishing the standards and infrastructure for reliable model inputs across ranking and pacing systems

Requirements:

• Bachelor's Degree
• 15 Years +