Applied Scientist I, Customer Experience and Business Trends

Amazon • Arlington, VA

23h

About The Position

Customer Experience and Business Trends (CXBT) is looking for an Applied Scientist to join its team. CXBT's mission is to create best-in-class AI agents that seamlessly integrate multimodal inputs, enabling natural, empathetic, and adaptive interactions. We leverage advanced architectures, cross-modal learning, interpretability, and responsible AI techniques to provide coherent, context-aware responses augmented by real-time knowledge retrieval. As part of CXBT, we have a vision to revolutionize how we understand, test, and optimize customer experiences at scale. Where traditional testing approaches fall short, we create AI-powered solutions that enable rapid experimentation, de-risk product launches, and generate actionable insights, -all before a single real customer is impacted. Be a part of our agentic initiative and shape how Amazon leverages artificial intelligence to run tests at scale and improve customer experiences. As an Applied Scientist, you will research state-of-the-art techniques in agent-based modeling, and lead scientific innovation by building foundational agentic simulation capabilities. If you are passionate about the intersection of AI and human behavior modeling, and want to fundamentally influence how Amazon tests and improves customer experiences, this role offers a great opportunity to make your mark. Our team is dedicated to improving Amazon's products and services through evaluation of the end-to-end customer experience using both internal and external processes and technology. Our mission is to deeply understand our customers' experiences, challenge the status quo, and provide insights that drive innovation to improve that experience. Through our analysis and insights, we inform business decisions that directly impact customer experience as customers of new GenAI and LLM technologies. Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings – for almost every business at Amazon – for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).

Requirements

• 1+ years of building models for business application experience
• Experience with any programming language such as Python, Java, C++
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in professional software development
• Experience building machine learning models or developing algorithms for business application

Nice To Haves

• Have publications on top-tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Responsibilities

• Design and implement frameworks for creating representative, diverse agents that faithfully capture real-world characteristics
• Use state-of-the-art techniques in user modeling and behavioral simulation to build robust agentic frameworks
• Develop data simulation approaches that mimic real-world speech interactions.
• Research and implement novel algorithms and modeling techniques.
• Acquire and curate diverse datasets while ensuring user privacy.
• Create robust evaluation metrics and test sets to assess language model performance.
• Innovate in data representation and model training techniques.
• Apply responsible AI practices throughout the development process.
• Write clear, scientific documentation describing methodologies, solutions, and design choices.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level