Audio Research Scientist

4 weeks ago


Edinburgh, Edinburgh, United Kingdom Amazon Full time
Unlock the Power of Language with Alexa

Alexa Daily Essentials is seeking an exceptional Applied Scientist to drive innovation in large language models and enhance Alexa's language understanding, knowledge representation, and generation capabilities.

Key Responsibilities
  1. Design and implement cutting-edge ML/LLM solutions, evaluating feasibility and driving projects to production deployment
  2. Continuously monitor and improve model performance through retraining, parameter tuning, and architecture refinements
  3. Develop novel training and inference techniques to boost model performance
  4. Collaborate with cross-functional teams to understand customer needs, scope science work, and drive science solutions from conception to customer delivery
  5. Research and develop LLM innovations, and lead paper publications
  6. Code proficiently in Python (required) and Java (preferred); optimize systems for high performance at scale; contribute code directly into production services
  7. Innovate and develop science and engineering solutions that optimize team operations and increase team effectiveness
  8. Clearly communicate complex technical concepts to non-technical stakeholders and leadership
Requirements
  1. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  2. 2+ years of building machine learning models for business application experience
  3. Experience implementing algorithms using both toolkits and self-developed code
  4. Experience in patents or publications at top-tier peer-reviewed conferences or journals
  5. Experience programming in Java, C++, Python or related language
Preferred Qualifications
  1. 3+ years of hands-on predictive modeling and large data analysis experience
  2. Experience using Unix/Linux
  3. Experience in professional software development

About Amazon

Amazon is committed to a diverse and inclusive workplace. 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.



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