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Sr. Principal Machine Learning Engineer

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Comcast Advertising

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

192396.16 - 450928.49 USD / Year
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Job Description:

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 Responsibility:

  • 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:

  • Machine Learning (ML)
  • Collaborating
  • Advertising Technologies
  • 15 Years + work experience
What we offer:
  • Paid Time off
  • Physical Wellbeing
  • Financial Wellbeing
  • Emotional Wellbeing
  • Life Events + Family Support
  • Base pay
  • Bonus

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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