Senior Applied Scientist, Artificial General Intelligence
DESCRIPTION
The Artificial General Intelligence (AGI) team is looking for a highly-skilled Senior Applied Scientist, to lead the development and implementation of novel algorithms and push the boundaries of efficient inference for Generative Artificial Intelligence (GenAI) models. As a Senior Applied Scientist, you will play a critical role in driving the development of GenAI technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities- Design and execute experiments to evaluate the performance of different decoding algorithms and models, and iterate quickly to improve results
- Develop deep learning models for compression, system optimization, and inference
- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems in GenAI
- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team
BASIC QUALIFICATIONS
- PhD, or Master's degree and 5+ years of applied research experience- 5+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
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