Applied Scientist
vor 3 Monaten
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)
The Applied Scientist in NLP within Customer Engagement Tech, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing conversational AI systems based on large pretrained language models, that can understand and communicate with customers in a natural and contextually appropriate manner.
This involves tackling complex problems in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation and assessment of dialogue quality and style of the conversational model.
Key job responsibilities
Key job responsibilities
2. Design and implement state-of-the-art NLP and ML models for tasks such as language understanding, dialogue management, and response generation and dialogue quality assessment.
3. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms.
4. Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.
5. Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.
6. Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions.
7. Collaborate with internal and external research communities, participate in conferences and publications, and contribute to the advancement of the field.
A day in the life
A day in the life
“If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply”Benefits Summary:
About the team
About the team
Join our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in professional software development
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