Senior Applied Scientist, Sponsored Products

Job summary

DESCRIPTION The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Ama*** and beyond.

Benefits

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)
• PREFERRED
• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
• Master's degree or above in engineering, statistics, computer science, mathematics, or a related quantitative field
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• 3+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience leading engineering teams as a mentor or tech lead
• Experience creating and delivering written and oral communications for technical and non-technical audiences

Responsibilities

• As a Senior Applied Scientist on this team, you will:
• 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.
• About the team
• Amazon is investing heavily in building a world-class advertising business.

Skills

Degrees

Industry

Company size