Applied Scientist , Customer Experience and Business Trends
Amazon (AI roles) · Seattle, Washington, USA
No salary listed. Estimated from 386 salary-disclosed Research roles on this board: $223K–$326K (interquartile range; estimate, not the employer's figure).
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Customer Experience and Business Trends (CXBT) is looking for an Applied Scientist to join their 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 experience.
As an applied scientist, you will research state-of-the-art techniques in agent-based modeling, and lead scientific innovation 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.
Key job responsibilities
- Design and implement frameworks for multi-modal content handling and 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
- 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
A day in the life
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.
About the team
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). - 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- PhD or equivalent research experience
- Experience building machine learning models or developing algorithms for business application
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 experience.
As an applied scientist, you will research state-of-the-art techniques in agent-based modeling, and lead scientific innovation 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.
Key job responsibilities
- Design and implement frameworks for multi-modal content handling and 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
- 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
A day in the life
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.
About the team
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). - 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- PhD or equivalent research experience
- Experience building machine learning models or developing algorithms for business application
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