Job ID: 2783380 | Amazon Web Services, Inc.
AWS AI is looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading AI systems. As an Applied Scientist at AWS, you will be at the forefront of developing cutting-edge language technology, leveraging your strong machine learning background to push the boundaries of Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Your role will involve working on innovative projects that encompass language understanding, Retrieval-Augmented Generation (RAG), semantic parsing, code generation, and agentic workflow. You will collaborate with internationally recognized experts to develop novel algorithms and modeling techniques, directly impacting millions of customers through AWS products and services while contributing to the wider research community.
In this dynamic and entrepreneurial environment, you will have the opportunity to work with Amazon's vast array of text and structured data sources, as well as access to large-scale computing resources to accelerate advancements in language understanding. You will conduct groundbreaking research, influence the science roadmap, and shape the direction of the team. Your work will involve building and deploying state-of-the-art machine learning algorithms and systems, creating prototypes, and exploring conceptually new solutions. This role offers the chance to interact closely with customers and the academic community, publish your work in top-tier conferences and journals, and be at the heart of AWS's growing and exciting AI focus area.
Key job responsibilitiesDevelop novel algorithms and modeling techniques in Natural Language Processing (NLP), Generative AI, Large Language Models (LLM), Natural Language Understanding (NLU), and Agentic workflows.Conduct innovative research and influence the science roadmap and direction of the team.Collaborate with internationally recognized experts to advance human language technology.Apply rigorous research methods to respond to large-scale NLP needs with efficient and scalable solutions.Leverage Amazon's vast data sources and large-scale computing resources to accelerate advances in language understanding.Contribute to the wider research community through publications in top-tier conferences and journals. BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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
- Experience building machine learning models or developing algorithms for business application
PREFERRED QUALIFICATIONS- Experience using Unix/Linux
- Experience in professional software development
- 3+ years of building machine learning models or developing algorithms for business application experience
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