Amazon Applied Scientist Customer Engagement Technology 

United States, Washington, Seattle 

995085085

This role involves tackling complex problems in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation, and the assessment of dialogue quality and style of the conversational model.Key job responsibilities- Design and implement state-of-the-art NLP and Machine Learning (ML) models for tasks such as language understanding, dialogue management, response generation, and dialogue quality assessment.- Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of chatbots.- Conduct experiments and evaluations to measure the performance of developed models and systems, and identify areas for improvement.
A day in the life
Benefits Summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 3+ years of building machine learning models or developing algorithms for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)

- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in professional software development