Applied Science Manager

Join the pioneering team behind Amazon's Generative AI shopping initiatives, Rufus - Amazon's flagship Shopping AI assistant. We're revolutionizing how millions of customers discover products through AI-powered conversational commerce. Our mission is to transform the traditional e-commerce experience into an intuitive, personalized journey powered by state of the art large language models (LLMs).

Key Responsibilities:

• Lead and mentor a team of elite applied scientists developing next-generation AI shopping experiences
• Drive architectural decisions and technology strategy for large-scale LLM deployments
• Spearhead the development of novel conversational AI features that help customers navigate Amazon's vast product catalog
• Partner with product teams to translate business requirements into technical solutions while maintaining high scientific standards
• Build and scale production-grade GenAI systems that can handle Amazon's massive customer base
• Identify opportunities for innovation and efficiency improvements through emerging AI technologies
• Drive cross-functional collaboration with engineering, product, and business teams

Impact & Scope:

• Direct influence on shopping experiences used by millions of customers globally
• Shape the strategic direction of Amazon's conversational commerce initiatives
• Lead breakthrough innovations in the application of GenAI to e-commerce
• Regular engagement with senior leadership on strategic initiatives and results

Required Qualifications:

• PhD or Masters in Computer Science, Machine Learning, or related field, or equivalent practical experience
• 7+ years of experience in machine learning, with significant focus on NLP/LLMs
• Proven track record of launching successful customer-facing AI products at scale
• Strong technical leadership experience managing and mentoring applied science teams
• Excellence in scientific research methodology and experimental design
• Deep expertise in modern deep learning frameworks and ML infrastructure
• Outstanding communication skills with ability to translate complex technical concepts for various audiences

Preferred Qualifications:

• Experience with large-scale distributed systems and cloud computing
• Publication record in top-tier ML conferences (NeurIPS, ICML, ACL, etc.)
• Previous experience with e-commerce or recommendation systems
• Track record of successful collaboration with product management teams
• Experience with ML deployment and monitoring in production environments

About the Team:

You'll join a diverse, passionate team of scientists and engineers working at the intersection of e-commerce and cutting-edge AI. We offer an environment that encourages innovation, supports professional growth, and provides opportunities to shape the future of online shopping.

This role offers a unique opportunity to lead groundbreaking work in applied AI while directly impacting the shopping experience of millions of Amazon customers worldwide.

• Master's degree
• Knowledge of ML, NLP, Information Retrieval and Analytics
• Experience directly managing scientists or machine learning engineers
• Experience programming in Java, C++, Python or related language
• Experience in building machine learning models for business application
• Experience in applied research

• Experience building machine learning models or developing algorithms for business application
• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

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