Applied Scientist
4 weeks ago
Applied Scientist, Customer Engagement Technology
Job Summary:We are seeking an experienced Applied Scientist to join our Customer Engagement Technology (CET) team at Amazon. The successful candidate will play a critical role in the research, development, and implementation of solutions to key challenges in developing conversational AI systems that can understand and communicate with customers in a natural and contextually appropriate manner.
Key Responsibilities:- Research and development of LLM-based chatbots and conversational AI systems for customer service applications.
- Design and implement state-of-the-art NLP and ML models for tasks such as language understanding, dialogue management, and response generation.
- Collaborate with cross-functional teams, including data 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.
- 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.
- Collaborate with internal and external research communities, participate in conferences and publications, and contribute to the advancement of the field.
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.
Requirements:- Experience programming in Java, C++, Python or related language.
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.
- Experience implementing algorithms using both toolkits and self-developed code.
- Have publications at top-tier peer-reviewed conferences or journals.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do 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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