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
BASIC QUALIFICATIONS
PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science
10+ years of combined academic and research experience.
Functional thought leader, sought after for key tech decisions.
Can successfully sell ideas to an executive level decision maker.
Mentors and trains the research scientist community on complex technical issues.
Experience developing software in traditional programming languages (C++, Java, etc..).
Excellent written and spoken communication skills
PREFERRED QUALIFICATIONS
Experience with deep learning frameworks
Experience with LLMs and multimodal architectures
Experience with generative deep learning models
Strong publication record in top-tier journals and conferences.
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