Amazon Applied Scientist Amazon Devices 

United States, Washington, Seattle 

157186527

Key job responsibilities- Apply deep learning frameworks (TensorFlow/Keras, PyTorch) to build sequence models (RNNs, LSTMs) that can effectively utilize limited pre-launch data and proxy information to forecast seasonal trends and price-sensitive demand for new devices.
- Conduct sophisticated feature engineering tasks, leveraging data from product attributes, market trends, and consumer preferences to create informative features for forecasting demand of unlaunched devices.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development