Senior Applied Scientist, Amazon

• If you're passionate about pushing the boundaries of AI, thrive in solving complex problems, and want to make a significant impact on the e-commerce industry, we want to hear from you
• PhD
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
• Experience with neural deep learning methods and machine learning
• Experience in building machine learning models for business application
• PhD in NLP, Information Retrieval, Machine Learning, or related fields (or equivalent experience), with 6+ years of industry experience
• Extensive experience with deep learning-based NLP, IR, and MLLM/VLM methods
• Strong track record in addressing real-world problems using ML and NLP
• Expertise in developing and owning production ML models and systems, particularly those involving LLMs
• Proficiency in Python and experience with production-level implementation
• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow
• Familiarity with cloud computing platforms, particularly AWS
• Demonstrated ability to lead and shape scientific roadmaps across multiple areas, collaborating with product, science, and engineering managers
• Knowledge of recent advancements in AI agents, including multi-agent systems and agent evaluation frameworks

Desirable

• At Amazon, we're revolutionizing the future of shopping with Rufus, our AI-driven shopping assistant
• We're seeking an exceptional Senior Applied Scientist with a strong machine learning, NLP and Gen AI background with relevant industry experience to join our Rufus Features Science team in London
• You will work at the intersection of the latest research and real-world impact, pushing the boundaries of agentic AI, multimodal language technology, leveraging RAG and RL, to create unparalleled shopping experiences
• As a Senior Applied Scientist, you'll be at the forefront of developing state-of-the-art, conversation-based, agentic, multimodal shopping experiences
• You will leverage the latest advancements in Multimodal and Visual Large Language Models (MLLMs/VLMs), and AI Agents to transform how customers discover, research, and purchase products
• As a Senior Applied Scientist at Amazon, you'll set the standard for scientific excellence, make decisions that influence our algorithm and architecture development, and drive innovation in agentic MLLM technology
• Your work will directly enhance how customers interact with our platform, making product discovery and purchasing more intuitive, efficient, and personalized
• Lead the development of state-of-the-art agentic LLM solutions for conversational shopping, considering scalability, latency, and quality
• Design and implement innovative AI technologies that push the boundaries of Natural Language Processing (NLP), Generative AI, MLLMs/VLMs, Machine Learning (ML), Retrieval-Augmented Generation (RAG), and Reinforcement Learning (RL)
• Lead science roadmaps spanning multiple areas, working with senior leaders and stakeholders
• Develop and evaluate production Agentic AI systems for real customer use cases, focusing on LLM-based conversational interfaces and multimodal interactions
• Drive end-to-end MLLM projects with high ambiguity, scale, and complexity, taking a hands-on approach to the most critical aspects
• Collaborate with cross-functional teams to rapidly bring new research into production, directly impacting millions of customers
• Communicate progress and results internally to both technical and non-technical audiences and publish at top-tier conferences
• You will be part of the Rufus Features Science team based in London, working alongside over 100 engineers, designers and product managers, focused on shaping the future of AI-driven shopping experiences at Amazon
• This team works on every aspect of the shopping experience, from understanding multimodal user queries to planning and generating MLLM responses that combine text, image, audio and video