Amazon Applied Scientist 

United States, Washington, Seattle 

397562131

Key job responsibilities
As an Applied Scientist, you'll leverage your expertise to research novel algorithms and modeling techniques to develop data simulation approaches mimicking real-world interactions with a focus on the speech modality. You'll acquire and curate large, diverse datasets while ensuring privacy, creating robust evaluation metrics and test sets to comprehensively assess LLM performance. Integrating human-in-the-loop feedback, you'll iterate on data selection, sampling, and enhancement techniques to improve the core model performance. Your innovations in data representation, model pre-training/fine-tuning on simulated and real-world datasets, and responsible AI practices will directly impact customers through new AI products and services.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience in professional software development
- Experience with popular deep learning frameworks such as Pytorch, MxNet and Tensor Flow.
- Experience with large scale machine learning systems such as profiling, debugging / understanding of system performance and scalability
- Proficient in 2 of these areas: large language models, information retrieval, speech recognition, Computer Vision, and graph neural networks