FreeWheel
Technology
Sr.PrincipalMachineLearningEngineer
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“Sr. Principal Machine Learning Engineer at FreeWheel. Skills: Machine Learning, Optimization, Research Leadership, Organizational Leadership, Marketplace & Platform Strategy. Define and execute the long-term research strategy for optimization, targeting, bidding, forecasting, and marketplace systems. Lead a global team of research scientists and applied researchers across multiple geographies. Identify emerging opportunities in machine learning, artificial intelligence, optimization, and computa”
What You'll Achieve.
Drive innovations that directly impact revenue, customer performance, and marketplace efficiency. Translate advanced research into measurable improvements in revenue, efficiency, customer performance, and platform scalability. Drive data-driven decision-making through experimentation and causal measurement frameworks. Evaluate strategic technology investments and emerging opportunities. Measurable improvements in platform performance and optimization outcomes. Successful deployment of research innovations into production systems. Revenue impact attributable to optimization and machine learning initiatives. Strategic advancement of the company's AI and optimization capabilities.
Industry & Context.
system design; large-scale optimization problems
Other duties and responsibilities as assigned.
What They're Looking For.
Must Have
Ph. D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, Statistics, Economics, or related quantitative field. 15+ years of experience developing machine learning and optimization systems. 10+ years of leadership experience managing research scientists and technical organizations. Demonstrated success deploying research innovations into production environments at scale. Deep expertise in several of the following: Machine Learning, Optimization, Operations Research, Control Theory, Economics and Auction Design, Statistical Modeling, Large-Scale Experimentation. Track record of publications, patents, or significant scientific contributions. Exceptional communication and executive stakeholder management skills. Experience leading research organizations within digital advertising, marketing technology, marketplaces, or internet-scale platforms. Expertise in demand-side platforms (DSPs), bidding systems, targeting technologies, or advertising optimization. Experience managing globally distributed teams. record of academic and industry thought leadership. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
Nice to Have
A recognized leader in applied machine learning and optimization research who can bridge cutting-edge science and business outcomes. This executive is equally comfortable discussing auction theory, reinforcement learning, organizational strategy, and executive-level business priorities, while building teams capable of solving some of the industry's most challenging large-scale optimization problems.
What You'll Do.
Define and execute the long-term research strategy for optimization, targeting, bidding, forecasting, and marketplace systems.
Lead a global team of research scientists and applied researchers across multiple geographies.
Identify emerging opportunities in machine learning, artificial intelligence, optimization, and computational economics.
Foster a culture of scientific rigor, innovation, experimentation, and measurable business impact.
Drive development of large-scale machine learning systems for prediction, recommendation, targeting, and campaign optimization.
Advance state-of-the-art approaches in predictive modeling, reinforcement learning, causal inference, auction theory, multi-objective optimization, control systems, and operations research.
Oversee research from problem formulation through experimentation, deployment, and production monitoring.
Lead innovation across demand-side platform (DSP) optimization, campaign delivery, supply optimization, and audience targeting systems.
Partner with Product and Engineering leaders to align research investments with strategic business objectives.
Develop frameworks that improve advertiser outcomes, platform efficiency, and marketplace health.
Recruit, mentor, and retain top-tier scientific talent.
Establish technical standards, research processes, and career development frameworks.
Build collaborations across research, engineering, product, and commercial organizations.
Represent the company externally through publications, patents, industry conferences, and academic partnerships.
Translate advanced research into measurable improvements in revenue, efficiency, customer performance, and platform scalability.
Drive data-driven decision-making through experimentation and causal measurement frameworks.
Evaluate strategic technology investments and emerging opportunities.
How You'll Work.
Team & Collaboration
Partner with Product and Engineering leaders to align research investments with strategic business objectives. Build collaborations across research, engineering, product, and commercial organizations.
Communication Scope
Exceptional communication; executive stakeholder management
Full Job Description
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** We are seeking a Sr Principal Scientist of Research & Optimization Sciences to lead a world-class organization of research scientists and machine learning experts focused on developing the next generation of optimization, prediction, targeting, and marketplace systems. This executive will define the scientific vision, research agenda, and technical strategy for large-scale advertising and marketing platforms, driving innovations that directly impact revenue, customer performance, and marketplace efficiency. The ideal candidate combines deep expertise in machine learning, optimization, economics, operations research, and experimentation with a proven ability to lead globally distributed research organizations. This leader will translate cutting-edge research into production systems operating at internet scale while partnering closely with Product, Engineering, Data Science, and Business leadership. **Job Description** **Key Responsibilities:** ### Research Leadership * Define and execute the long-term research strategy for optimization, targeting, bidding, forecasting, and marketplace systems. * Lead a global team of research scientists and applied researchers across multiple geographies. * Identify emerging opportunities in machine learning, artificial intelligence, optimization, and computational economics. * Foster a culture of scientific rigor, innovation, experimentation, and measurable business impact. ### Machine Learning & Optimization * Drive development of large-scale machine learning systems for prediction, recommendation, targeting, and campaign opt
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