Postdoctoral Scientist, Rufus Features Science
Postdoctoral Scientist, Rufus Features Science
Posted on :
17-05-2025
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1 Vacancy
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Job Description
Amazon is looking for talented Postdoctoral Scientists to join our team for a oneyear fulltime research position. Postdoctoral Scientists will innovate in key areas of machine learning natural language processing computer vision automated reasoning robotics or quantum technologies.
As part of the Rufus Features Science team in London the postdoc will work on shaping the future of AIdriven shopping experiences at Amazon. In particular the project focuses on conversational search in shopping developing nextgeneration conversational search systems in the shopping domain that seamlessly bridge natural shopping dialogues with precise product retrieval and recommendation. Key challenges include developing new methods for grounding conversational context in product attribute space designing efficient retrieval mechanisms that can handle both structured product metadata and unstructured conversational context and creating evaluation frameworks that capture both conversation quality and search relevance. The project will extend beyond traditional conversational search paradigms by integrating agentic frameworks that can proactively identify clarify and refine user needs through strategic dialogue management while simultaneously orchestrating multiple specialized retrieval agents for different aspects of the shopping journey (e.g. attribute extraction price comparison review analysis and specification matching).
We experiment and innovate relentlessly. Science is core in our offering to shoppers advertisers and customers. Our scientists apply machine learning optimization causal modeling and game theory at scale to enhance the customer experience help advertisers reach relevant audiences and support brand building. We are seeking talented scientists to invent cuttingedge techniques in a variety of areas and innovate on behalf of shoppers advertisers and customers.
In this role you will:
Lead research projects in conversational search and retrievalaugmented systems
Develop novel architectures combining dialogue management with product search
Design and implement evaluation frameworks for agentic conversational shopping systems
Publish research findings in toptier conferences and journals
Mentor junior researchers and contribute to the teams scientific direction
PhD in Computer Science Machine Learning Information Retrieval or related field
Strong publication record in NLP Information Retrieval or Conversational AI
Experience with large language models and retrievalaugmented generation
Research background in conversational systems or dialogue management
Experience with modern deep learning frameworks (PyTorch TensorFlow)
Excellent written and verbal communication skills
Knowledge of multiagent systems and tooluse frameworks
Experience with ecommerce or shopping domain applications
Publications at top venues (ACL NeurIPS SIGIR AAAI etc.)
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 ( 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
As part of the Rufus Features Science team in London the postdoc will work on shaping the future of AIdriven shopping experiences at Amazon. In particular the project focuses on conversational search in shopping developing nextgeneration conversational search systems in the shopping domain that seamlessly bridge natural shopping dialogues with precise product retrieval and recommendation. Key challenges include developing new methods for grounding conversational context in product attribute space designing efficient retrieval mechanisms that can handle both structured product metadata and unstructured conversational context and creating evaluation frameworks that capture both conversation quality and search relevance. The project will extend beyond traditional conversational search paradigms by integrating agentic frameworks that can proactively identify clarify and refine user needs through strategic dialogue management while simultaneously orchestrating multiple specialized retrieval agents for different aspects of the shopping journey (e.g. attribute extraction price comparison review analysis and specification matching).
We experiment and innovate relentlessly. Science is core in our offering to shoppers advertisers and customers. Our scientists apply machine learning optimization causal modeling and game theory at scale to enhance the customer experience help advertisers reach relevant audiences and support brand building. We are seeking talented scientists to invent cuttingedge techniques in a variety of areas and innovate on behalf of shoppers advertisers and customers.
In this role you will:
Lead research projects in conversational search and retrievalaugmented systems
Develop novel architectures combining dialogue management with product search
Design and implement evaluation frameworks for agentic conversational shopping systems
Publish research findings in toptier conferences and journals
Mentor junior researchers and contribute to the teams scientific direction
PhD in Computer Science Machine Learning Information Retrieval or related field
Strong publication record in NLP Information Retrieval or Conversational AI
Experience with large language models and retrievalaugmented generation
Research background in conversational systems or dialogue management
Experience with modern deep learning frameworks (PyTorch TensorFlow)
Excellent written and verbal communication skills
Knowledge of multiagent systems and tooluse frameworks
Experience with ecommerce or shopping domain applications
Publications at top venues (ACL NeurIPS SIGIR AAAI etc.)
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 ( 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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