Sr. Applied Scientist- P13N

Take Earths most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually an exciting opportunity to build next-generation shopping experiences Amazons tremendous computational resources and our extensive e-Commerce experience. What do you get The most exciting position in the industry.

About our organization: Our team is part of Amazons Personalization organization a high-performing group that leverages Amazons expertise in machine learning big data distributed systems and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as Keep shopping for Tap to explore Customers who bought this item also bought and Frequently bought together among others. Amazons internal surveys regularly recognize us as one of the best engineering organizations to work for in the company with visible high-impact work low operational load respectful work-life balance and continual opportunity to learn and grow.

You will play a critical role in ideation for the team. We are building the next generation ML systems that powers the biggest shopping engine on earth and we hope you will join us!

Key job responsibilities
As an Applied Scientist on the team you will be working on the state of art ways to help customers find the right products and content on their shopping journey. Our goal is to help customers achieve their objective seamlessly while shopping on Amazon.
We are investing in multiple fronts including but not limited to GenerativeAI LLMs transformers sequence models reinforcement learning MABs. This is an opportunity to come in on Day0 and influence the science roadmap of one of the most interesting problem spaces at Amazon - understanding the Amazon customer to build deeply personalized and adaptive shopping experiences. We will be working on applying state of the art science and research into production to elevate the customer experience. You will be part of a multidisciplinary team working on one of the largest scale machine learning systems in the company. You will hone your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems. As a member of a highly leveraged team of talented engineers and ML scientists you will have a unique opportunity to help build infrastructure that accesses petabytes of data to produce and deliver models that deliver state of the art customer experiences.


Key job responsibilities
As an Applied Scientist on the team you will be working on the state of art ways to help customers find the right products and content on their shopping journey. Our goal is to help customers achieve their objective seamlessly while shopping on Amazon.
We are investing in multiple fronts including but not limited to GenerativeAI LLMs transformers sequence models reinforcement learning. This is an opportunity to come in on Day0 and influence the science roadmap of one of the most interesting problem spaces at Amazon - understanding the Amazon customer to build deeply personalized and adaptive shopping experiences. We will be working on applying state of the art science and research into production to elevate the customer experience. You will be part of a multidisciplinary team working on one of the largest scale machine learning systems in the company. You will hone your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems. As a member of a highly leveraged team of talented engineers and ML scientists you will have a unique opportunity to help build infrastructure that accesses petabytes of data to produce and deliver models that deliver state of the art customer experiences.

About the team
Our mission is to delight every Amazon customer with a consistent and adaptive personalized shopping experience. We achieve our mission through investments in large scale machine learning distributed systems and user experience with the purpose of delivering the future of shopping on Amazon. We are seeking an Applied Scientist to work on step function science improvements to help achieve SOTA results and to help build new Personalization experiences for Amazon customers.

- 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 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.

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