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As a Senior Applied Scientist, you will be at the forefront of AI innovation, shaping an assistant that fosters natural and productive interactions. You will have the opportunity to collaborate with brilliant minds in the fields of AI, ML, and LLM. Leveraging Amazon's vast and diverse data sources, as well as its large-scale computing resources, you will accelerate advancements in LLMs and multimodal systems. Moreover, you will derive immense satisfaction from working on a product that resonates with your friends and family, one that they can relate to and eagerly anticipate using daily.Key job responsibilities- Develop cutting-edge inference and training techniques to enhance the performance of LLMs for AI agent’s unique social AI tasks and applications.
- Design and implement robust techniques for generating synthetic data to train large models effectively, while ensuring model generalization and robustness.
- 4+ years of building machine learning models for business application experience
- PhD, or Master's degree and 3+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Hands-on experience in training large model (>70B) and/or model distillation
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