The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist to work on methodologies for Generative Artificial Intelligence (GenAI) models. As an Applied Scientist, you will be responsible for supporting the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI. You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre-training and post-training workflows and build efficient models. You will support the system architecture and the best practices that enable a quality infrastructure.
Key job responsibilities
Join us to work as an integral part of a team that has experience with GenAI models in this space. We work on these areas:
- Pre-training and post-training multimodal LLMs
- Scale training, optimization methods, and learning objectives
- Utilize, build, and extend upon industry-leading frameworks
- Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility
- Deliver results independently in a self-organizing Agile environment while constantly embracing and adapting new scientific advances
About the team
The AGI team has a mission to push the envelope in GenAI with Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.
