FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

JOB SUMMARY

Responsible for identifying complex problems across Freewheel’s business platforms and developing novel machine learning algorithms to solve them. Provides expertise across the company and is responsible for setting strategic roadmaps for the development and implementation of Machine Learning solutions. Actively engaged in creating intellectual property and filing patents for the company. May help in creating of industry standards and open source software frameworks. Evaluates accuracy and functionality of individual machine learning algorithms and the overall implications of entire machine learning frameworks. Responsible for overseeing design, implementation and evaluation of future machine learning based products and applications. Guides multiple engineering teams to successfully deploy and operate machine learning based products and applications. Provides guidance and leadership to other researchers and/or engineers in developing novel ways to solve problems and discover new products using machine learning. Acts as technical machine learning expert within the company. Integrates knowledge of business and functional priorities. Provides mentoring and guidance to other researchers and engineers in the company.

CORE TECHNICAL & SCIENTIFIC SKILLS

• Machine Learning & AI: Deep expertise in supervised, unsupervised, and reinforcement learning with applications in recommendation systems, bidding optimization, and personalization.
• Statistics & Econometrics: Strong foundation in causal inference, experimental design (A/B, multivariate testing), and time series modeling.
• Data Science & Analytics: Proficiency in large-scale data analysis, predictive modeling, and signal extraction from noisy/high-dimensional data.
• Optimization & Algorithms: Expertise in real-time decisioning, auction theory, and constrained optimization problems.
• Computational Advertising: Deep understanding of programmatic advertising, RTB (real-time bidding), attribution modeling, and measurement.
• Natural Language Processing & Generative AI: Familiarity with contextual ad matching, content classification, and creative optimization.

SKILLS:

Leadership; Research and Development; Business

EDUCATION

Master’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.

RELEVANT WORK EXPERIENCE

10 Years