Key job responsibilities As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of ...
Key job responsibilities As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of ...
Key job responsibilities As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of ...
Key job responsibilities As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of ...
Key job responsibilities As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of ...
Key job responsibilities As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of ...
Key job responsibilities As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of ...
Key job responsibilities As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of ...
Amazon's Search ranking relies on efficient early stage ranking followed by power final stage ranking models. this role will focus on developing efficient models and exploration techniques to ...
Amazon's Search ranking relies on efficient early stage ranking followed by power final stage ranking models. this role will focus on developing efficient models and exploration techniques to ...
Amazon's Search ranking relies on efficient early stage ranking followed by power final stage ranking models. this role focuses on efficient models for early stage ranking phase, and techniques to ...
Amazon's Search ranking relies on efficient early stage ranking followed by power final stage ranking models. this role focuses on efficient models for early stage ranking phase, and techniques to ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
Own major ranking initiatives from problem definition through experimentation, launch, and iteration * Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval ...
We're looking for a Product Manager, Content Ranking to join our team at Snap Inc! What you'll do: * Partner with cross-functional teams to build app features and content experiences that ensure ...
We're looking for a Product Manager, Content Ranking to join our team at Snap Inc! What you'll do: * Partner with cross-functional teams to build app features and content experiences that ensure ...
Principal Product Manager, Content Ranking & Personalization AI
Redmond, WA · On-site
$220K - $331K/yr
You will define personalization and ranking strategy end to end: how user interests are represented, how candidates are retrieved, how content understanding and user signals become ranking features ...
Principal Product Manager, Content Ranking & Personalization AI
Redmond, WA · On-site
$220K - $331K/yr
You will define personalization and ranking strategy end to end: how user interests are represented, how candidates are retrieved, how content understanding and user signals become ranking features ...
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Amazon rating
7.4
Based on 7,096 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Amazon's Search team creates ML algorithms that connect customers around the world with products that delight them. We harness machine learning at Amazon's scale to make the customer experience easier and smoother. Our impact is large.
For example, if your innovations save even 1 minute per customer per year, then for every 100 million customers, you save approximately 190 years of human effort.
Key job responsibilities
As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world. You will find the next set of big improvements to ranking, leverage large datasets to understand the complexities of customer behavior, and build ML models that work at Amazon scale. Amazon's Search ranking relies on efficient early stage ranking followed by power final stage ranking models
this role will focus on developing efficient models and exploration techniques to optimize the early stage ranking phase.
A day in the life
Our primary focus is improving search ranking systems. On a day-to-day this means building ML models, analyzing data from your recent A/B tests, and collaborating with partner teams on joint goals. You will also find yourself in meetings with business and tech leaders at Amazon communicating your next big initiative
About the team
We are a team consisting of ML scientists and software engineers. Our interests span machine learning for better ranking, reinforcement learning to bring the benefits of exploration to search ranking, and infrastructure to make it all happen at scale and efficiently.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US