Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to develop innovative AI shopping experiences for millions of customers.
- Company: Join Amazon's cutting-edge team revolutionising e-commerce with AI.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Shape the future of shopping with groundbreaking AI technology.
- Qualifications: PhD or Masters in relevant field and extensive machine learning experience.
- Other info: Collaborative environment with direct impact on global shopping experiences.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Description
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 Master’s 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.
Basic Qualifications
- 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
Preferred Qualifications
- 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
Equal Opportunity & 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you\’re applying in isn\’t listed, please contact your Recruiting Partner.
#J-18808-Ljbffr
Applied Science Manager, Rufus Conversational Shopping employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Science Manager, Rufus Conversational Shopping
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Amazon. Building relationships can open doors that you didn’t even know existed.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with your projects, especially those related to AI and machine learning. This gives potential employers a tangible look at what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding of LLMs. Practice common interview questions and scenarios, and don’t forget to articulate your thought process clearly during the interview.
✨Apply Through Our Website
Make sure to apply directly through the Amazon careers page. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest job openings there!
We think you need these skills to ace Applied Science Manager, Rufus Conversational Shopping
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Applied Science Manager role. Highlight your experience with machine learning, NLP, and any leadership roles you've had. We want to see how your skills align with our mission at Rufus!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and e-commerce. Share specific examples of your past successes in launching AI products and how they relate to what we do at Amazon.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise! Mention your experience with deep learning frameworks and any programming languages you’re proficient in. We love seeing candidates who can bridge the gap between science and practical application.
Apply Through Our Website: We encourage you to apply through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to our hiring team. Let’s get your journey started with us at Amazon!
How to prepare for a job interview at Amazon
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around conversational commerce and large language models. Be ready to discuss your experience with machine learning and how it can be applied to enhance customer shopping experiences.
✨Showcase Your Leadership Skills
Since this role involves leading a team of applied scientists, prepare examples of how you've successfully managed and mentored teams in the past. Highlight any specific projects where your leadership made a significant impact.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about ML frameworks and deployment strategies. Brush up on your knowledge of distributed systems and be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with various stakeholders.
✨Align with Their Vision
Familiarise yourself with Amazon's mission in conversational commerce. Think about how your background aligns with their goals and be prepared to share innovative ideas that could contribute to their initiatives. Show them you're not just a fit for the role, but also for their culture.
