Amazon Applied Scientist D2 Science Analytics 

United States, Washington, Seattle 

842034335

If you have experience with two or more of the following,
· Research and implementation of multi-turn task-oriented dialogue systems
· Natural Language Understanding / Spoken Language Understanding
· Information Retrieval, Question Answering, Semantic Representation
· Zero-shot or Few-shot Learning
· Crowdsourced NLU annotation best practices
· Reinforcement Learning (preferably in an NLP application)
· Computational Linguistics
· Large scale text classification
then we want to hear from you!Responsibilities:
- Create experiments and prototype implementations of new learning algorithms and prediction techniques- Constructively critique peer research and mentor junior s and engineersA day in the life
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan”Seattle, WA, USA

- 3+ years of building machine learning models for business application experience
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Have publications at top-tier peer-reviewed conferences or journals
- Knowledge of programming languages such as C/C++, Python, Java or Perl

- Experience in professional software development
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience building AI / LLM driven application.