Sr. Principal Machine Learning Engineer

Comcast

1d•$192,396 - $450,928

About The Position

Universal Ads, a part of Comcast, enables any brand, of any size, to seamlessly make and buy commercials across premium video reaching new qualified audiences at scale. Universal Ads combines premium and brand-safe video content directly from the most influential media companies with the ease and familiarity of social ad buying. It is your one-stop shop for high-quality video ads delivering performance and unmatched scale. Job Summary Universal Ads is looking for a Sr. Principal Machine Learning Engineer to lead the design, implementation, and evolution of our ML stack. You’ll architect the systems that power our marketplace, including expected value models for performance advertising, pacing optimization, and real-time prediction services that determine how every impression is valued and delivered. This is a highly technical and strategic leadership role. You’ll collaborate on the long-term vision for our machine learning roadmap, guide the development of robust and scalable infrastructure, and collaborate across product, data science, and engineering to ensure Universal Ads becomes the industry benchmark for efficient, intelligent ad delivery across CTV inventory Job Description

Requirements

Advertising Technologies
Collaborating
Machine Learning (ML)
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
15 Years +

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.
Understand our Operating Principles; make them the guidelines for how you do your job.
Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
Win as a team - make big things happen by working together and being open to new ideas.
Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
Drive results and growth.
Support a culture of inclusion in how you work and lead.
Do what's right for each other, our customers, investors and our communities.