Applied Scientist, Alexa Daily Essentials
4 days ago
Job Summary
We are seeking an Applied Scientist to research and implement large language model innovations to enhance Alexa's language understanding, knowledge representation, reasoning and generation capabilities.
Job Description
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. The team delivers experiences critical to how customers interact with Alexa as part of daily life, driving over 40 billion+ actions annually across 60 million+ monthly customers.
**Key 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
• Work crossfunctionally 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; contribute code directly into production services
• Innovate and develop science and engineering solutions that optimize team operations and increase team effectiveness
• Clearly communicate complex technical concepts to nontechnical stakeholders and leadership
**Requirements:**
• 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 implementing algorithms using both toolkits and self-developed code
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
**Preferred Qualifications:**
• 3+ years of hands-on predictive modeling and large data analysis experience
• Experience using Unix/Linux
• Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.
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