Comcast
Sr. Principal Machine Learning Engineer
Vaga remota de Machine Learning Engineering com fit claro de localização do candidato.
Publicada12 de jun. de 2026
Países elegíveis2 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
CanadáEstados Unidos
Resumo da vaga
Sr. Principal Machine Learning Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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 optimization.
- Advance state-of-the-art approaches in:Predictive modelingReinforcement learningCausal inferenceAuction theoryMulti-objective optimizationControl systemsOperations research
- Predictive modeling
- Reinforcement learning
- Causal inference
- Auction theory
- Multi-objective optimization
- Control systems
- Operations research
- Oversee research from problem formulation through experimentation, deployment, and production monitoring.
Details
- Predictive modeling
- Reinforcement learning
- Causal inference
- Auction theory
- Multi-objective optimization
- Control systems
- Operations research
- Machine Learning
- Optimization
- Operations Research
- Control Theory
- Economics and Auction Design
- Statistical Modeling
- Large-Scale Experimentation
Marketplace & Platform Strategy
- 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.
Organizational Leadership
- 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.
Business Impact
- 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.
Required Qualifications
- 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 LearningOptimizationOperations ResearchControl TheoryEconomics and Auction DesignStatistical ModelingLarge-Scale Experimentation
- 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.
- Strong record of academic and industry thought leadership.
Required Qualifications
- 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.
- Other duties and responsibilities as assigned.
Success Metrics
- Measurable improvements in platform performance and optimization outcomes.
- Successful deployment of research innovations into production systems.
- Growth and retention of scientific talent.
- Patent generation and publication output.
- Revenue impact attributable to optimization and machine learning initiatives.
- Strategic advancement of the company's AI and optimization capabilities.
Employees at all levels are expected to:
- 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.
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