Amazon Applied Scientist II L5 AFT AI Amazon 

Germany, Berlin 

403003009

Key job responsibilities
In this role, you will build computer vision and multi-modal deep learning models that understand the state of products and packages flowing through Amazon’s fulfillment network. You will build models that solve challenging problems like product identification and damage detection on Amazon's entire retail catalog (billions of different items, thousands of new items every day). You will primarily work with very large real-world vision datasets, as well as a diverse set of multi-modal datasets, including natural language and structured data. You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions.A day in the lifePublicly available articles showcasing some of our work:

- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience working with deep learning models for classification tasks
- Experience working with vision-language models and large language models
- Experience with state-of-the-art deep learning and data science frameworks like PyTorch, TensorFlow, Pandas

- Experience in professional software development
- Experience in deploying deep learning models in production
- Experience developing deep learning models with multi-modal input (vision-language models)
- Experience in self-supervised learning