Jobs · Management · Washington

Senior Manager, Applied Science, Prime Video Advertising

Prime Video & Amazon MGM Studios · Seattle, WA · 3 wk ago
Management$10/hrFull-time

Basic Qualifications

  • PhD in Computer Science, Computer Engineering, Machine Learning, Statistics, Operations Research, or a related quantitative field
  • Experience as a science manager, with demonstrated experience managing other managers or leading science teams through senior leaders
  • Extensive track record of solving complex business problems with machine learning, deep learning, and ML engineering at scale
  • Prominent ability to hire, develop, and manage a high-performing applied science organization, including growing future science leaders
  • Experience delivering a scientific vision with a path to execution, including managing strategic research projects spanning multiple years
  • Strong technical depth in machine learning with the ability to evaluate and guide work across optimization, causal inference, NLP/generative AI, and recommendation systems
  • Experience delivering large-scale scientific efforts and making trade-offs between opportunity, resources, and business impact

Preferred Qualifications

  • Experience in advertising technology, ad marketplaces, or revenue optimization domains
  • Experience building and deploying large-scale machine learning and AI solutions at Internet scale, particularly in real-time bidding, auction optimization, or content personalization
  • Experience with generative AI / large language models applied to creative generation, content augmentation, or personalization
  • Track record of managing hybrid science/engineering teams and driving end-to-end ML systems from research to production
  • Experience designing and scaling experimentation platforms or causal inference frameworks
  • Demonstrated ability to drive 3-5 year strategic initiatives and provide critical inputs into organizational planning (OP1/OP2)
  • Active engagement with the external scientific community (publications in ACM, IEEE, NeurIPS, ICML, KDD, or similar venues)
  • Proven ability to communicate rigorous scientific concepts and trade-offs to senior leadership and cross-functional stakeholders through verbal and written narratives
  • Ability to manage multiple priorities and create a sense of urgency in a fast-paced, high-growth environment

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