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As a Senior Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models (LLMs). And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day.Key job responsibilities
- Develop new inference and training techniques to improve the performance of LLMs for Smart Home control and Automation
- Develop robust techniques for synthetic data generation for training large models and maintaining model generalization
- Mentoring junior scientists to improve their skills, knowledge, and their ability to get things done
- PhD in math/statistics/engineering or other equivalent quantitative discipline, or Master's degree and 6+ years of industry or academic research experience
- Experience programming in Java, C++, Python or related language
- 3+ years of building machine learning models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
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