Applied Scientist II, Artificial General Intelligence, AGI Information

We are looking for a passionate talented and inventive Applied Scientist to develop industry-leading Generative Artifical Intelligence (GenAI) technology with Large Language Models (LLMs). In this role you will innovate in the fastest-moving fields of current AI research in particular developing new methods and algorithms for inference-time scaling in the field of agentic search.

If you are deeply familiar with LLMs NLP and ML this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your teams contributions.

Its an exciting time to be a leader in AI Amazons AGI Information team you can make your mark by improving information-driven experience of Amazon customers worldwide!

Key job responsibilities
- Design and execute experiments to evaluate the performance of different algorithms and models and iterate quickly to improve results.
- Build solutions that address customer needs making informed trade-offs to balance accuracy efficiency and user experience.
- Work with peers to develop novel algorithms or modeling techniques to advance the state of the art with LLMs.

About the team
The AGI team has a mission to push the envelope in LLMs and multimodal systems in order to provide the best-possible experience for our customers.

- PhD or a Masters degree and experience in CS CE ML or related field
- Experience in designing experiments and statistical analysis of results
- 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
- Experience with one of the following areas: machine learning technologies Reinforcement Learning Deep Learning Computer Vision Natural Language Processing (NLP) or related applications

- Experience using Unix/Linux
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience in professional software development
- Experience building machine learning models or developing algorithms for business application
- Experience with training and evaluating LLMs

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

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