Sr Applied Scientist Brand Intelligence
Sr Applied Scientist Brand Intelligence
Posted on :
27-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
27-04-2025
Job Description
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of advertising tools within Sponsored Products and Sponsored Brands that drive discovery and advertiser growth. Our brand understanding products are strategically important to our advertisers helping them propel long term growth across retail and marketplace businesses. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create worldclass brand intelligence models and products. We are highly motivated collaborative and funloving with an entrepreneurial spirit and bias for action.
Within Sponsored Ads Advertiser Growth organization the Brand Intelligence team is on a mission to make Amazon the best in class destination for shoppers to discover engage and build affinity with brands thereby making shopping delightful and a personalized experience. Our team builds the central brand understanding foundation for Amazon ads and beyond. We focus on enabling brands to align customers shopping intent and position its unique value proposition via Amazon Ads. We provide largescale offline and online brand understanding data services powered by Machine Learning technologies (e.g. LargeLanguageModel MultiModal Deep Neural Networks Statistical Modeling).
About this Role:
We are looking for a passionate talented Senior Applied Scientist in the field of Natural Language Processing (NLP) Computer Vision (CV) Large Language Model (LLM) Ads Recommender Systems and/or Information Retrieval to invent and build scalable solutions for a stateoftheart contextaware Brand Understanding. A successful candidate will have strong machine learning background and a desire to push the boundary of one or more of the above areas. The ideal candidate is expected to leading the effort of building key ML features contribute to the collaborative and innovative spirit within the team and bring applied research to raise the bar within the team.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience in building machine learning models for business application
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Published relevant research work in leading ML conferences or journals.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Within Sponsored Ads Advertiser Growth organization the Brand Intelligence team is on a mission to make Amazon the best in class destination for shoppers to discover engage and build affinity with brands thereby making shopping delightful and a personalized experience. Our team builds the central brand understanding foundation for Amazon ads and beyond. We focus on enabling brands to align customers shopping intent and position its unique value proposition via Amazon Ads. We provide largescale offline and online brand understanding data services powered by Machine Learning technologies (e.g. LargeLanguageModel MultiModal Deep Neural Networks Statistical Modeling).
About this Role:
We are looking for a passionate talented Senior Applied Scientist in the field of Natural Language Processing (NLP) Computer Vision (CV) Large Language Model (LLM) Ads Recommender Systems and/or Information Retrieval to invent and build scalable solutions for a stateoftheart contextaware Brand Understanding. A successful candidate will have strong machine learning background and a desire to push the boundary of one or more of the above areas. The ideal candidate is expected to leading the effort of building key ML features contribute to the collaborative and innovative spirit within the team and bring applied research to raise the bar within the team.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience in building machine learning models for business application
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Published relevant research work in leading ML conferences or journals.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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