Audio Research Scientist

4 weeks ago


Edinburgh, Edinburgh, United Kingdom Amazon Full time
Applied Scientist, Alexa Daily Essentials

Alexa Daily Essentials is seeking an Applied Scientist to research and implement large language model innovations, enhancing Alexa's language understanding, knowledge representation, and generation capabilities.

Key Responsibilities
  1. Develop and deploy 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 new training and inference techniques to enhance 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 and Java, optimizing systems for high performance at scale.
  7. Innovate and develop science and engineering solutions to optimize team operations and increase team effectiveness.
  8. Clearly communicate complex technical concepts to non-technical stakeholders and leadership.
BASIC QUALIFICATIONS
  1. PhD or Master's degree in CS, CE, ML, or related field, with 4+ years of experience.
  2. 2+ years of building machine learning models for business applications.
  3. Experience implementing algorithms using 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 languages.
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.

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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