Applied Scientist II - Personalization, Customer Intent Science
Amazon (AI roles) · Seattle, Washington, USA
No salary listed. Estimated from 344 salary-disclosed Research roles on this board: $225K–$340K (interquartile range; estimate, not the employer's figure).
Apply at Amazon (AI roles)Find your warm intro on LinkedInAbout the role
Are you interested in big data, Machine Learning, and building recommendation services using Generative AI? If so, Amazon's Personalization team might be the right place for you.
Key job responsibilities
- Use AI and machine learning to create scalable solutions for business problems.
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes.
- Design, develop and evaluate highly scalable models for predictive learning.
- Work closely with software engineering teams to drive model implementations and new feature creations.
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Research and implement novel machine learning and statistical approaches
- Review peer work and provide feedback
A day in the life
You are an Applied Scientist who loves big data and passionate about improving customer shopping experience by inventing and applying state-of-art technologies (e.g., LLMs/SLMs, Machine Learning, Natural Language Processing, and Computer Vision) to build the next-generation product recommendation engine for Amazon. You have an entrepreneurial spirit, know how to deliver, are deeply technical and highly innovative. You work closely with software engineers to put algorithms into production. You also work in partnership with teams across Amazon to create enormous benefits for our customers.
About the team
We are part of Amazon’s Personalization organization, a high-performing group with a huge impact on hundreds of millions of customers, innovating at the intersection of customer experience, machine learning, and large-scale distributed systems. We run global experiments and our work has revolutionized e-commerce with features such as "Compare with similar items", "Keep Shopping For", “Customers who bought this item also bought”, and, “Frequently bought together” among others. - 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Key job responsibilities
- Use AI and machine learning to create scalable solutions for business problems.
- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes.
- Design, develop and evaluate highly scalable models for predictive learning.
- Work closely with software engineering teams to drive model implementations and new feature creations.
- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Research and implement novel machine learning and statistical approaches
- Review peer work and provide feedback
A day in the life
You are an Applied Scientist who loves big data and passionate about improving customer shopping experience by inventing and applying state-of-art technologies (e.g., LLMs/SLMs, Machine Learning, Natural Language Processing, and Computer Vision) to build the next-generation product recommendation engine for Amazon. You have an entrepreneurial spirit, know how to deliver, are deeply technical and highly innovative. You work closely with software engineers to put algorithms into production. You also work in partnership with teams across Amazon to create enormous benefits for our customers.
About the team
We are part of Amazon’s Personalization organization, a high-performing group with a huge impact on hundreds of millions of customers, innovating at the intersection of customer experience, machine learning, and large-scale distributed systems. We run global experiments and our work has revolutionized e-commerce with features such as "Compare with similar items", "Keep Shopping For", “Customers who bought this item also bought”, and, “Frequently bought together” among others. - 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
More like this
More Research roles · All Amazon (AI roles) jobs
Is this your role?
Claim it free with your work email to see how it’s performing here: views, apply-clicks and saves from candidates browsing AI roles. You can also keep it up to date or mark it filled.
We create your account on first use. Only an email on the company’s own domain can claim a role.