Conversational AI Solutions Engineer

3 days ago


Seattle, Washington, United States Amazon Full time

**About the Job**

Amazon is seeking a highly skilled Data Scientist II to join our Customer Engagement Tech, Self-Service and Automation team. The successful candidate will be responsible for researching, designing, and implementing solutions to key challenges in developing, evaluating, and deploying conversational AI systems that can understand and communicate with customers in a natural and contextually appropriate manner.

Key Responsibilities:

  • Define and implement robust HITL strategies to effectively expedite LLM models scaling process.
  • Collaborate with human annotators and subject matter experts to establish clear guidelines and quality control measures.
  • Analyze feedback loops and iterate on model performance to ensure continuous improvement.
  • Conduct in-depth analysis of large-scale conversational datasets to identify patterns, trends, and potential challenges.
  • Independently document methodologies, findings, and results in a clear and concise manner, ensuring reproducibility and knowledge sharing.
  • Collaborate with cross-functional teams, including applied scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms.
  • Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.
  • Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.

**Requirements:**

  • 3+ years of data scientist experience
  • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
  • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
  • Experience applying theoretical models in an applied environment
  • Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Estimated Salary Range: $125,500 - $212,800 per year, depending on location.



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