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.

Requirements

  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • 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
  • Experience in professional software development
  • Experience in solving business problems through machine learning, data mining and statistical algorithms

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

  • Amazon also offers comprehensive benefits including 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, and parental leave.
  • Learn more about our benefits at https://amazon.jobs/en/benefits .
  • USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
  • USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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