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Alexa Daily Essentials is hiring an Applied Scientist to research and implement large language model innovations to enhance Alexa's language understanding, knowledge representation, reasoning and generation capabilities.As an applied scientist, you will advance state of the art techniques in ML and LLM, and work closely with product and engineering teams to build the next generation of the Alexa smart assistant.Key job responsibilities
- Rapidly prototype ML/LLM solutions, evaluate feasibility, and drive projects to production deployment
- Continuously monitor and improve model performance through retraining, parameter tuning, and architecture refinements
- Develop new training and inference techniques to improve model performance- Research and develop LLM innovations, and lead paper publications.
- Code proficiently in Python (required) and Java (preferred); optimize systems for high performance at scale; contribute code directly into production services- Clearly communicate complex technical concepts to non-technical stakeholders and leadership
- Experience programming in Java, C++, Python or related language
- Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience building machine learning models or developing algorithms for business application
- Experience implementing algorithms using both toolkits and self-developed code
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
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