Applied Science Manager , Rufus Conversational Shopping

Join the pioneering team behind Amazons Generative AI shopping initiatives Rufus - Amazons flagship Shopping AI assistant. Were 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 Amazons 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 Amazons 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 Amazons 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:
Youll 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.


- Masters 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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