Senior Applied Scientist, Artificial General Intelligence
DESCRIPTION
The Artificial General Intelligence (AGI) team is looking for a Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for Amazon, working with other acclaimed engineers and world-famous scientists. Key job responsibilitiesJoin us to work as an integral part of a team that has diverse experience with GenAI models in this space. We work on these areas: - Scaling laws
- Hardware-informed efficient model architecture, low-precision training
- Optimization methods, learning objectives, curriculum design
- Deep learning theories on efficient hyperparameter search and self-supervised learning
- Learning objectives and reinforcement learning methods
- Distributed training methods and solutions
- AI-assisted research About the team
The AGI team has a mission to push the envelope in Large Language Models (LLMs) and multimodal systems, in order to provide the best-possible experience for our customers.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 5+ years of applied research experience- 3+ years of building machine learning models for business application experience
- Experience with neural deep learning methods and machine learning
- Experience programming in Java, C++, Python or related language
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