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. We drive over 40 billion+ actions annually across 60 million+ monthly customers, who engage with our products across experiences connected to Timers, Alarms, Calendars, Food, and News. Our experiences include critical time saving techniques, ad-supported news audio and video, and in-depth kitchen guidance aimed at serving the needs of the family from sunset to sundown. com, Whole Foods, Spotify, CNN, Fox, NPR, BBC, Discovery, and Food Network to deliver our vision. 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. 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 - Work cross-functionally across engineering, product, and business teams to understand customer needs, scope science work, and drive science solutions from conception to customer delivery - Research and develop LLM innovations, and lead paper publications. - Code proficiently in Python (required) and Java (preferred); optimize systems for high performance at scale; Innovate and develop science and engineering solutions that optimize team operations and increase team effectiveness. - Clearly communicate complex technical concepts to non-technical stakeholders and leadership PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 2+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language 3+ years of hands-on predictive modeling and large data analysis experience - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #