Amazon Principal Applied Scientist Reinforcement Learning 

United States, New York, New York 

224072598

Key job responsibilities
Key job responsibilities include:- Design, implement and evaluate models, agents and software prototypes
- Technical leadership for a group of highly motivated and talented scientists
- Engage key business stakeholders and scientists to surface opportunities for improvement and identify business requirements.
- Raise the bar of scientific research by innovating and publishing
- Deep Inventory Management [https://arxiv.org/abs/2210.03137, NeurIPS 2022 Workshop Presentation]
- Learning an Inventory Control Policy with General Inventory Arrival Dynamics [https://arxiv.org/abs/2310.17168]
- Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data [https://arxiv.org/abs/2112.07602]- A Study on the Calibration of In-context Learning [https://arxiv.org/abs/2312.04021]

- PhD in one of the following disciplines: Computer Science, Machine Learning, Statistics, Applied Math or a related quantitative field
- 10+ years of relevant, broad research experience after PhD
- Publications at top-tier peer-reviewed conferences or journals in one of these areas: reinforcement learning, deep learning, and machine learning
- Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages.
- Strong algorithm development experience
- Depth and breadth in state-of-the-art machine learning technologies
- Strong prior experience with mentorship and/or management of senior scientists and engineers.

- Deep expertise in Reinforcement Learning or Machine Learning
- Knowledge of the latest trends in related areas in Machine Learning.
- Proven track record of innovation in creating novel algorithms and advancing the state of the art