Principal Applied Scientist, CMT, Amazon Bangalore
Impact
As a member of the Competitor Monitoring Team (CMT), you'll play a key role in the evolution of our Competitive Monitoring systems to solve the world's most complex technical challenges in Crawling, Large-scale computing, Product Matching, Optimization, and Prediction & Forecasting.
Innovation
Are you seeking an environment where you can drive innovation? Do you want to apply state-of-the-art computer science and advanced machine-learning techniques to solve real world problems of competitive data analysis? Does the challenge of solving for challenges like product matching, predicting competitor behaviour, optimizing across datasets of billions through intelligent prioritization and forecasting techniques excite you?
Opportunity
To meet these challenges, the CMT team is looking for passionate, talented and innovative scientists looking to work on cutting edge technology, from Natural Language Processing to Optimization to Image Processing.
In addition to getting the opportunity to participate in research in several domains, you will lead the solution to complex pricing problems in an extremely agile environment.
Come be part of this growing, dynamic and challenging space!
Key job responsibilities
* Understand in-depth the technical and scientific issues related to Natural Language Processing, Image Processing and Optimization
* Develop new solutions and science best practices
* Research the problem domain and develop novel approaches to solve customer problems.
* Drive adoption of new science and best practices among partner teams.
* Be open to experiment quickly and fail fast.
* Collaborate with engineers to develop end-to-end solutions to the business problems.
* Ideate on future roadmap for science in CMT, and CMT in general.
* MS in Computer Science, AI, or equivalent fields.
* 10+ years of experience in machine-learning research and product building.
* Experience with machine learning applications.
1. Ph.D in Computer Science, AI, or other equivalent fields.