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Senior Applied Scientist, Sponsored Products

Amazon· Applied Science
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Seattle$167.1k - $226.1kfull-timePosted yesterday

About the role

Senior applied scientist leading ML and GenAI efforts within Amazon Ads Sponsored Products, focusing on retrieval, understanding, and ranking to improve shopper experience and monetization across advertising products. Responsibilities include end-to-end ML project leadership, productionizing models, experiments, and mentoring team members in a high-impact GenAI and NLP-driven environment.

Responsibilities

  • Serve as the technical leader in Machine Learning and Generative AI, driving efforts within this team and across other teams.
  • Lead end-to-end ML projects with high ambiguity, scale, and complexity—from problem definition to production.
  • Build, optimize, and deploy ML models into production, partnering with software engineers to productionize solutions.
  • Establish scalable, automated processes for data analysis, model development, validation, and serving.
  • Apply strong knowledge of LLMs (prompt engineering, fine-tuning, RAG, evaluation) to build production-grade GenAI applications.
  • Analyze large-scale data sets to develop insights that increase traffic monetization and merchandise sales without compromising the shopper experience.
  • Design and run A/B experiments, and perform statistical analysis to measure impact and guide decisions.
  • Research and prototype innovative ML and GenAI approaches, bringing state-of-the-art techniques into production.
  • Recruit, mentor, and grow Applied Scientists on the team.

Qualifications

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
  • Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)

Skills

Required:Machine LearningGenerative AI / LLMsData analysis and statisticsLeadership / mentoring
Nice to have:ML infrastructure & deployment

Benefits

  • Health insurance (medical, dental, vision, prescription)
  • Basic Life & AD&D insurance and option for Supplemental life plans
  • EAP, Mental Health Support, Medical Advice Line
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

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