Postdoctoral Scientist, Rufus Features Science

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.)

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