Applied Scientist II, Selection Monitoring

Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured semi-structured and Visually Rich Documents using deep learning NLP and image processing .

The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from research prototype design coding and deployment. We are looking for Applied Scientists to tackle challenging problems in the areas of information Extraction Efficient crawling at internet scale. You should have depth and breadth of knowledge in text mining information extraction from Visually Rich Documents semi structured data (HTML) and machine learning. You should also have programming and design skills to manipulate Semi-Structured and unstructured data and systems that work at internet scale.

You will encounter many challenges including :

• Scale (build models to handle billions of pages) - Accuracy (requirements for precision and recall)
• Speed (generate predictions for millions of new or changed pages with low latency) - Diversity (models need to work across different languages market places and data sources)

You will help us to

Key job responsibilities

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country / region youre applying in isnt listed please contact your Recruiting Partner.

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1