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Amazon
Seattle, WA, United States
How can we improve the shopping experience on Amazon.com by tailoring what we display on our pages based on customer interests and preferences? How do we use generative models to help us innovate in different ways to enhance the shopping experience? How do we generate personalized content that helps customers shop at scale? Our team's stated missi
Job Source: AmazonAmazon
Seattle, WA, United States
How can we improve the shopping experience on Amazon.com by tailoring what we display on our pages based on customer interests and preferences? How do we use generative models to help us innovate in different ways to enhance the shopping experience? How do we generate personalized content that helps customers shop at scale? Our team's stated missi
Job Source: AmazonAmazon
Seattle, WA, United States
Job ID: 2677392 | Evi Technologies Limited Our team builds generative AI solutions that will produce some of the future’s most influential voices in media and art. We develop cutting-edge technologies with Amazon Studios, the provider of original content for Prime Video, with Amazon Game Studios and Alexa, the ground-breaking service that powers th
Job Source: AmazonAmazon
Bellevue, WA, United States
Principal Applied Scientist , Applied AI Job ID: 2676876 | Amazon.com Services LLC We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contr
Job Source: AmazonAmazon
Seattle, WA, United States
Applied Scientist II, Enterprise Personalization As a member of the Enterprise Personalization team, you will help create and innovate on the next generation of Recommendation and Personalization technologies across multiple websites. Our team owns and creates recommendations and other personalization features for Amazon's websites and enterprise
Job Source: AmazonApple
Seattle
Generative AI Applied Scientist, Applied Machine Learning Seattle,Washington,United States Software and Services We are seeking a highly skilled and motivated Applied ML Scientist with expertise in Generative AI to join our dynamic team. In this role, you will be responsible for developing innovative and practical AI applications that drive enterpr
Job Source: AppleApple Inc.
Seattle, WA, United States
Generative AI Applied Scientist, Applied Machine Learning We are seeking a highly skilled and motivated Applied ML Scientist with expertise in Generative AI to join our dynamic team. In this role, you will be responsible for developing innovative and practical AI applications that drive enterprise transformation. Your work will have a direct imp
Job Source: Apple Inc.Amazon
Seattle, WA, United States
Amazon is looking for world class Principal Applied Scientist to join its AWS AI Labs with expertise in recommender systems/personalization and differential privacy. You will be leading a team of applied scientists developing robust and scalable machine learning solutions for recommendation and personalization services. You will interact in a cross
Job Source: AmazonSeattle, WA, United States
How can we improve the shopping experience on Amazon.com by tailoring what we display on our pages based on customer interests and preferences? How do we use generative models to help us innovate in different ways to enhance the shopping experience? How do we generate personalized content that helps customers shop at scale?
Our team's stated missions is to "grow each customer’s relationship with Amazon by leveraging our deep understanding of them to provide relevant and timely product, program, and content recommendations." Recommendations at Amazon is a way to help customers discover products. Our team strives to better understand how customers shop on Amazon (and elsewhere) and build models that streamline customers' shopping experiences by showing the right products at the right time. Understanding the complexities of customers' shopping needs and helping them explore the depth and breadth of Amazon's catalog is a challenge we take on every day.
Using Amazon’s large-scale computing resources, you will design and deploy state-of-the-art models that help customers shop on Amazon. You will ask research questions about customer behavior, design state-of-the-art models that help customers shop, and deploy these models to production. You will participate in the 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 customers and the retail business.
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 cutting edge products used everyday by people you know.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
- 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience in a wide breadth of modeling approaches and applications
- Experience in building machine learning models for business applications
- Experience in applied research
- Experience mentoring a team of applied scientists
- Experience with neural deep learning methods and generative models (text and image)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $159,100/year in our lowest geographic market up to $309,400/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Email Alert for Principal Applied Scientist (Generative AI), Personalization jobs in Seattle, WA, United States
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