Principal Applied Scientist - Gen AI, Shopping
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Job Location:
Yearly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Were seeking a Principal Applied Scientist to spearhead the next generation of AI-driven shopping experiences.
As a key scientific advisor to our organization you will pioneer breakthrough solutions in Generative AI Agentic AI and Large Language Models (LLMs) to revolutionize commerce at unprecedented scale. This role offers a unique opportunity to tackle complex open-research problems at the intersection of e-commerce conversational AI and machine learning.
How do we use generative models to help us innovate in different ways to enhance the shopping experience How do we generate personalized content at scale that helps customers shop How do we revolutionize the shopping experience while pushing the limits of science and engineering
Using Amazons large-scale computing resources you will design and deploy state-of-the-art models that help customers shop on Amazon. You will participate in the larger Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML and generative AI. Your work will directly benefit the millions of customers who shop on Amazon.
We are looking for a passionate hard-working and talented Applied Scientist who has experience developing state-of-the-art models and deploying them to production. You will have an opportunity to make an enormous impact on the design architecture and implementation of innovative products used everyday by people you know.
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 learnin
Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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 $179000/year in our lowest geographic market up to $309400/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.
As a key scientific advisor to our organization you will pioneer breakthrough solutions in Generative AI Agentic AI and Large Language Models (LLMs) to revolutionize commerce at unprecedented scale. This role offers a unique opportunity to tackle complex open-research problems at the intersection of e-commerce conversational AI and machine learning.
How do we use generative models to help us innovate in different ways to enhance the shopping experience How do we generate personalized content at scale that helps customers shop How do we revolutionize the shopping experience while pushing the limits of science and engineering
Using Amazons large-scale computing resources you will design and deploy state-of-the-art models that help customers shop on Amazon. You will participate in the larger Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML and generative AI. Your work will directly benefit the millions of customers who shop on Amazon.
We are looking for a passionate hard-working and talented Applied Scientist who has experience developing state-of-the-art models and deploying them to production. You will have an opportunity to make an enormous impact on the design architecture and implementation of innovative products used everyday by people you know.
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 learnin
Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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 $179000/year in our lowest geographic market up to $309400/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:
Staff IC
Key Skills
- Machine Learning
- Python
- Data Science
- AI
- R
- Research Experience
- Sensors
- Drug Discovery
- Research & Development
- Natural Language Processing
- Data Analysis Skills
- Toxicology Experience
About Company
AmaZone Cafe it is a very cosy place, focus on healthy food, where you can delight with your friends and family and try the best Acai, the famous brazillian fruit.
