Applied Science Manager , Rufus - Conversational Shopping

Amazon Jobs; City Of London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A leading e-commerce technology firm in London seeks a senior leader to oversee AI initiatives, driving innovation in conversational commerce. This role requires a PhD/Master's in Computer Science and significant experience in machine learning. The successful candidate will lead a team, collaborating with product developers to enhance customer experiences using state-of-the-art AI technologies.

Qualifications

• 7+ years of experience in machine learning with a focus on NLP/LLMs.
• Proven track record of customer-facing AI products.
• Strong experience in managing and mentoring teams.

Responsibilities

• Lead a team of scientists in developing AI shopping experiences.
• Drive technology strategy for large-scale LLM deployments.
• Collaborate with product teams to deliver technical solutions.

Skills

Leadership in ML teams

NLP expertise

Deep learning frameworks

Outstanding communication

Machine learning models development

Education

PhD or Masters in Computer Science

Tools

Java

C++

Python

Job description

Overview

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).

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.

Role Details

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

EEO & Privacy

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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