Applied Science Manager
Applied Science Manager
Posted on :
09-04-2025
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1 Vacancy
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Job Description
The Amazon India ML team is developing stateoftheart largescale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in a) Sponsored Products the group will be responsible for growing Ads business through semantic matching of customer query to products automated bidding for sellers and matching Ads to customer videos on MiniTV b) Personalisation the group will be developing stateoftheart ML models for targeting and automating marketing campaigns to customers with the goal of growing the category business in India.
Key job responsibilities
You will be responsible for building a team of scientists who are experienced in taking an idea to reality from prototype to a customerfacing product their career development as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building. This team also publish our research in the best venues internationally.
As part of this team you will take on challenging novel problems every day and collaborate with crossfunctional teams. Youll need to be comfortable with a degree of ambiguity thats higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business product and technical challenges.
3 years of scientists or machine learning engineers management experience
Knowledge of ML NLP Information Retrieval and Analytics
Experience building machine learning models or developing algorithms for business application
Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
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 job responsibilities
You will be responsible for building a team of scientists who are experienced in taking an idea to reality from prototype to a customerfacing product their career development as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building. This team also publish our research in the best venues internationally.
As part of this team you will take on challenging novel problems every day and collaborate with crossfunctional teams. Youll need to be comfortable with a degree of ambiguity thats higher than most projects and love the idea of solving problems that have never been solved before. You will provide ML thought leadership to technical and business leaders and have a demonstrated ability to think strategically about business product and technical challenges.
3 years of scientists or machine learning engineers management experience
Knowledge of ML NLP Information Retrieval and Analytics
Experience building machine learning models or developing algorithms for business application
Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
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.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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