Manager, Applied Science , Brand Protection ML
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Job Location:
Yearly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Amazon Science gives you insight into the companys approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. Its the companys ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish teach and engage with the academic community in addition to utilizing our working backwards method to enrich the way we live and work.
Please visit for more information.
Are you an expert in Computer Vision (CV) Natural Langugage Procesing (NLP) or Multi-Modality Large Language Models (MLLM) Are you interested in building Generative AI solutions on complex business problems that have significant global benefit. The Brand Protection Science team designs and builds highly performing and scalable AI models using machine learning deep learning LLM/Gen AI to identify and prevent infringement abuse and counterfeit on behalf of buyer seller and brand owners worldwide. As an Applied Science Manager you will be lead a group of highly talented scientists and partner with Tech Business and Operations to build the strategic vision for brand protection drive execution and launch scalable AI solutions operating on billions of Amazon product listings WW for Brand Protection.
Key job responsibilities
You will lead a team of Applied Scientist to work backwards from customer needs and solve complex scientific problems that have a high business and customer impact. As a manager You will be the thought leader for inventing novel science solutions using SOTA ML techniques including LLM and GenAI. You partner with your stakeholders and leadership to define the science vision and strategies for your team. You have excellent communication skills to explain complex scientific approaches to a variety of stakeholders and customers and bridge the gap between science tech and business. You are accountable for the science vision and strategic direction of your team the artifacts they provide and any technologies owned. You will establish structures that enable your team to consistently deliver. You will also lead your team to leverage the broader Amazon scientific community and build a team culture that focuses on bringing research to production removing road blockers and delivering more results for Amazon customers. You are strategic about the team members growth and provide those interested with opportunities to demonstrate higher level role scope impact complexity and leadership.
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or Masters degree and 4 years of building machine learning models or developing algorithms for business application experience
- 2 years of scientists or machine learning engineers management experience
- Knowledge of machine learning approaches and algorithms
- Knowledge of ML NLP Information Retrieval and Analytics
- 5 years of building machine learning models or developing algorithms for business application experience
- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- Experience with deep learning libraries such as PyTorch TensorFlow MxNet Research publications in computer vision deep learning or machine learning at peer-reviewed workshops conferences or journals
- Experience with the Scrum methodology (or similar alternatives) for agile software development
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 $165500/year in our lowest geographic market up to $286000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
Please visit for more information.
Are you an expert in Computer Vision (CV) Natural Langugage Procesing (NLP) or Multi-Modality Large Language Models (MLLM) Are you interested in building Generative AI solutions on complex business problems that have significant global benefit. The Brand Protection Science team designs and builds highly performing and scalable AI models using machine learning deep learning LLM/Gen AI to identify and prevent infringement abuse and counterfeit on behalf of buyer seller and brand owners worldwide. As an Applied Science Manager you will be lead a group of highly talented scientists and partner with Tech Business and Operations to build the strategic vision for brand protection drive execution and launch scalable AI solutions operating on billions of Amazon product listings WW for Brand Protection.
Key job responsibilities
You will lead a team of Applied Scientist to work backwards from customer needs and solve complex scientific problems that have a high business and customer impact. As a manager You will be the thought leader for inventing novel science solutions using SOTA ML techniques including LLM and GenAI. You partner with your stakeholders and leadership to define the science vision and strategies for your team. You have excellent communication skills to explain complex scientific approaches to a variety of stakeholders and customers and bridge the gap between science tech and business. You are accountable for the science vision and strategic direction of your team the artifacts they provide and any technologies owned. You will establish structures that enable your team to consistently deliver. You will also lead your team to leverage the broader Amazon scientific community and build a team culture that focuses on bringing research to production removing road blockers and delivering more results for Amazon customers. You are strategic about the team members growth and provide those interested with opportunities to demonstrate higher level role scope impact complexity and leadership.
- PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field or Masters degree and 4 years of building machine learning models or developing algorithms for business application experience
- 2 years of scientists or machine learning engineers management experience
- Knowledge of machine learning approaches and algorithms
- Knowledge of ML NLP Information Retrieval and Analytics
- 5 years of building machine learning models or developing algorithms for business application experience
- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- Experience with deep learning libraries such as PyTorch TensorFlow MxNet Research publications in computer vision deep learning or machine learning at peer-reviewed workshops conferences or journals
- Experience with the Scrum methodology (or similar alternatives) for agile software development
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 $165500/year in our lowest geographic market up to $286000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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:
Manager
Key Skills
- Digital Marketing
- Marketing
- Management Experience
- Profit & Loss
- Analysis Skills
- Microsoft Powerpoint
- Market Research
- Project Management
- Product Management
- P&L Management
- Product Development
- Branding
About Company
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