Amazon’s Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. Our systems process billions of products to algorithmically find products not already sold on Amazon and programmatically add them to the Amazon catalog.
We apply parallel processing, machine learning and deep learning algorithms to evaluate products and brands in order to identify and prioritize products and brands to be added to Amazon’s catalog.
The datasets produced by our team are used by teams across Amazon to improve : product information, search and discoverability, pricing, and delivery experience.
Our work involves building state-of-the-art Information Retrieval (IR) systems to mine the web and automatically create structured entities from un-structure / semi-structured data.
We constantly stretch the boundaries of large scale distributed systems, Elastic Computing, Big Data, and SOA technologies to tackle challenges at Amazon’s global scale.
Come join us in our journey to make everything and yes, we do mean *everything* that anyone wants to buy, available on Amazon!
We are looking for SDEs with strong technical knowledge, established background in engineering large scale software systems, and passion for solving challenging problems.
The role demands a high-performing and flexible candidate who can take responsibility for success of the system and drive solutions from design to coding, testing, and deployment, to achieve results in a fast paced environment.
As a member of the team, in this role, you will :