Amazon Applied Scientist Customer Engagement Technology 

United States, California 

748397788

Key focus areas include:
- Lifelong Learning: Researching continuous learning approaches for injecting new domain knowledge while retaining the model's foundational abilities and preventing catastrophic forgetting.
- Agentic Systems: Developing a modular agentic framework to handle multi domain conversations through appropriate system abstractions.
- Complex Multi-turn Instruction Following: Identifying approaches to guarantee compliance with instructions that specify standard operating procedures for handling multi-turn complex scenarios.
- Inference-Time Adaptability: Researching inference-time scaling methods and improving in-context learning abilities of custom models to enable real-time adaptability to new features, actions, or bug fixes without solely relying on retraining.
- End-to-End Dialog Policy Optimization: Researching alignment approaches to optimize successful dialog completions.
- Scalable Evaluations: Developing automated approaches to evaluate the quality of experience, and correctness of agentic resolutions.Key job responsibilities- Design and implement state-of-the-art Natural Language Processing (NLP) and ML models for tasks such as language understanding, dialogue management, and response generation.- 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.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

- Master's degree
- 2+ years of building machine learning models or developing algorithms for business application experience

- PhD
- 3+ years of building machine learning models or developing algorithms for business application experience