{"schemaVersion":"jobsearcher.job.v1","id":"0ca3eb0eff6423df96ff0858","url":"https://jobsearcher.com/jobs/0ca3eb0eff6423df96ff0858","canonicalUrl":"https://jobsearcher.com/jobs/0ca3eb0eff6423df96ff0858","title":"Sr. Principal Machine Learning Engineer","description":"Job Summary\r\nWe 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.\r\nKey Responsibilities\r\nDefine and execute the long-term research strategy for optimization, targeting, bidding, forecasting, and marketplace systems.\r\nLead a global team of research scientists and applied researchers across multiple geographies.\r\nIdentify emerging opportunities in machine learning, artificial intelligence, optimization, and computational economics.\r\nFoster a culture of scientific rigor, innovation, experimentation, and measurable business impact.\r\nMachine Learning & Optimization\r\nDrive development of large-scale machine learning systems for prediction, recommendation, targeting, and campaign optimization.\r\nAdvance state-of-the-art approaches in:\r\nPredictive modeling\r\nReinforcement learning\r\nCausal inference\r\nAuction theory\r\nMulti-objective optimization\r\nControl systems\r\nOperations research\r\nOversee research from problem formulation through experimentation, deployment, and production monitoring.\r\nMarketplace & Platform Strategy\r\nLead innovation across demand-side platform (DSP) optimization, campaign delivery, supply optimization, and audience targeting systems.\r\nPartner with Product and Engineering leaders to align research investments with strategic business objectives.\r\nDevelop frameworks that improve advertiser outcomes, platform efficiency, and marketplace health.\r\nOrganizational Leadership\r\nRecruit, mentor, and retain top-tier scientific talent.\r\nEstablish technical standards, research processes, and career development frameworks.\r\nBuild collaborations across research, engineering, product, and commercial organizations.\r\nRepresent the company externally through publications, patents, industry conferences, and academic partnerships.\r\nBusiness Impact\r\nTranslate advanced research into measurable improvements in revenue, efficiency, customer performance, and platform scalability.\r\nDrive data-driven decision-making through experimentation and causal measurement frameworks.\r\nEvaluate strategic technology investments and emerging opportunities.\r\nRequired Qualifications\r\nPh.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, Statistics, Economics, or related quantitative field.\r\n15+ years of experience developing machine learning and optimization systems.\r\n10+ years of leadership experience managing research scientists and technical organizations.\r\nDemonstrated success deploying research innovations into production environments at scale.\r\nDeep expertise in several of the following\r\nMachine Learning\r\nOptimization\r\nOperations Research\r\nControl Theory\r\nEconomics and Auction Design\r\nStatistical Modeling\r\nLarge-Scale Experimentation\r\nTrack record of publications, patents, or significant scientific contributions.\r\nExceptional communication and executive stakeholder management skills.\r\nExperience leading research organizations within digital advertising, marketing technology, marketplaces, or internet-scale platforms.\r\nExpertise in demand-side platforms (DSPs), bidding systems, targeting technologies, or advertising optimization.\r\nExperience managing globally distributed teams.\r\nStrong record of academic and industry thought leadership.\r\nSuccess Metrics\r\nMeasurable improvements in platform performance and optimization outcomes.\r\nSuccessful deployment of research innovations into production systems.\r\nGrowth and retention of scientific talent.\r\nPatent generation and publication output.\r\nRevenue impact attributable to optimization and machine learning initiatives.\r\nStrategic advancement of the company's AI and optimization capabilities.\r\nIdeal Candidate Profile\r\nA 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.\r\nSalary\r\nPrimary Location Pay Range: This job can be performed in California with a good faith estimated pay range upon hire of $288,594.24 - $384,792.31 USD.\r\nComcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.\r\nFor more details, please visit our compensation and benefits summary on our careers site.\r\nEqual Opportunity Employer\r\nComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant's criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment.\r\nJ-18808-Ljbffr","company":"Comcast","rawCompany":"comcast","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-25T01:12:06.628Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-9121.00","title":"Natural Sciences Managers","slug":"natural-sciences-managers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Principal Machine Learning Engineer","description":"Job Summary\r\nWe 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.\r\nKey Responsibilities\r\nDefine and execute the long-term research strategy for optimization, targeting, bidding, forecasting, and marketplace systems.\r\nLead a global team of research scientists and applied researchers across multiple geographies.\r\nIdentify emerging opportunities in machine learning, artificial intelligence, optimization, and computational economics.\r\nFoster a culture of scientific rigor, innovation, experimentation, and measurable business impact.\r\nMachine Learning & Optimization\r\nDrive development of large-scale machine learning systems for prediction, recommendation, targeting, and campaign optimization.\r\nAdvance state-of-the-art approaches in:\r\nPredictive modeling\r\nReinforcement learning\r\nCausal inference\r\nAuction theory\r\nMulti-objective optimization\r\nControl systems\r\nOperations research\r\nOversee research from problem formulation through experimentation, deployment, and production monitoring.\r\nMarketplace & Platform Strategy\r\nLead innovation across demand-side platform (DSP) optimization, campaign delivery, supply optimization, and audience targeting systems.\r\nPartner with Product and Engineering leaders to align research investments with strategic business objectives.\r\nDevelop frameworks that improve advertiser outcomes, platform efficiency, and marketplace health.\r\nOrganizational Leadership\r\nRecruit, mentor, and retain top-tier scientific talent.\r\nEstablish technical standards, research processes, and career development frameworks.\r\nBuild collaborations across research, engineering, product, and commercial organizations.\r\nRepresent the company externally through publications, patents, industry conferences, and academic partnerships.\r\nBusiness Impact\r\nTranslate advanced research into measurable improvements in revenue, efficiency, customer performance, and platform scalability.\r\nDrive data-driven decision-making through experimentation and causal measurement frameworks.\r\nEvaluate strategic technology investments and emerging opportunities.\r\nRequired Qualifications\r\nPh.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, Statistics, Economics, or related quantitative field.\r\n15+ years of experience developing machine learning and optimization systems.\r\n10+ years of leadership experience managing research scientists and technical organizations.\r\nDemonstrated success deploying research innovations into production environments at scale.\r\nDeep expertise in several of the following\r\nMachine Learning\r\nOptimization\r\nOperations Research\r\nControl Theory\r\nEconomics and Auction Design\r\nStatistical Modeling\r\nLarge-Scale Experimentation\r\nTrack record of publications, patents, or significant scientific contributions.\r\nExceptional communication and executive stakeholder management skills.\r\nExperience leading research organizations within digital advertising, marketing technology, marketplaces, or internet-scale platforms.\r\nExpertise in demand-side platforms (DSPs), bidding systems, targeting technologies, or advertising optimization.\r\nExperience managing globally distributed teams.\r\nStrong record of academic and industry thought leadership.\r\nSuccess Metrics\r\nMeasurable improvements in platform performance and optimization outcomes.\r\nSuccessful deployment of research innovations into production systems.\r\nGrowth and retention of scientific talent.\r\nPatent generation and publication output.\r\nRevenue impact attributable to optimization and machine learning initiatives.\r\nStrategic advancement of the company's AI and optimization capabilities.\r\nIdeal Candidate Profile\r\nA 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.\r\nSalary\r\nPrimary Location Pay Range: This job can be performed in California with a good faith estimated pay range upon hire of $288,594.24 - $384,792.31 USD.\r\nComcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.\r\nFor more details, please visit our compensation and benefits summary on our careers site.\r\nEqual Opportunity Employer\r\nComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Please note that federal state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes. Additionally, an applicant's criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:12:06.628Z","dateModified":"2026-06-25T01:12:06.628Z","hiringOrganization":{"@type":"Organization","name":"Comcast","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0ca3eb0eff6423df96ff0858"},"url":"https://jobsearcher.com/jobs/0ca3eb0eff6423df96ff0858"}}