The Artificial General Intelligence (AGI) team is looking for a highly-skilled Senior Applied Scientist, to lead the development and implementation of cutting-edge 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
We are open to hiring candidates to work out of one of the following locations :
Bellevue, WA, USA Boston, MA, USA New York, NY, USA
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.
PREFERRED QUALIFICATIONS
- PhD in Computer Science, Machine Learning, or a related field, with a focus on GenAI
- Demonstrated experience in developing and implementing decoding algorithms and knowledge of model compression, optimization, and inference
- Experience with Large Language Models (LLMs) and multimodal systems
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience with patents or publications at top-tier peer-reviewed conferences or journals
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