The Artificial General Intelligence (AGI) Information team is looking for a passionate, and talented Senior Applied Scientist with a strong experience in cutting-edge LLM technologies.

We are a hybrid team of scientists and engineers focused on building visuals (composed of graphics, images, text, etc.) that are integrated into conversational question answering experiences. Key research areas for the team include agentic workflows and code generation capabilities of large language models (LLMs) for generation of visual responses to questions.

If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience working in high-performing research teams, 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 the velocity and impact of your contributions.

Key job responsibilities
- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).
- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs.
- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.



About the team
It's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experiences of Amazon customers worldwide. Your work will directly impact our customers in the form of products and services that make use of language and multimodal technology!

- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, or natural language processing
- 4+ years experience in building conversational AI and/or natural language processing systems.
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.)
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field

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