Amazon
Description
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you’re energized by solving complex challenges and pushing the boundaries of what’s possible with AI, join us in shaping the future of advertising.
The Conversational Ad Experiences team within Sponsored Products and Brands is a cross‑functional team focusing on designing, developing and launching innovative ad experiences in conversational contexts. We utilize leading‑edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi‑turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what’s possible in these fields. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond!
As an Applied Scientist II in the Conversational Ad Experiences team, you’ll be working with scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide.
Key job responsibilities
Drive end‑to‑end generative AI projects that have a high degree of ambiguity, scale, complexity.
Perform hands‑on analysis of data sets to identify insights and build models that enhance traffic monetization, merchandise sales, and the overall shopper experience.
Train generative AI and machine learning models, run proof‑of‑concept experiments, optimize, and deploy models at scale in production.
Work closely with software engineers on detailed requirements, technical designs and implementation of end‑to‑end solutions in production.
Research new and innovative generative AI and machine learning approaches.
Work closely with product managers to contribute to our mission, and proactively identify science opportunities to drive business.
Be a member of the Amazon‑wide machine learning community, participating in internal and external meetups, hackathons and conferences.
Basic Qualifications
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.
Preferred Qualifications
Experience in professional software development.
PhD, or a Master’s degree and experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF.
Experience with natural language processing and generative model architectures.
Background in advertising technology or e‑commerce platforms.
Demonstrated track record of innovative AI solution development.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $136,000/year in our lowest geographic market up to $223,400/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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The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you’re energized by solving complex challenges and pushing the boundaries of what’s possible with AI, join us in shaping the future of advertising.
The Conversational Ad Experiences team within Sponsored Products and Brands is a cross‑functional team focusing on designing, developing and launching innovative ad experiences in conversational contexts. We utilize leading‑edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi‑turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what’s possible in these fields. Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond!
As an Applied Scientist II in the Conversational Ad Experiences team, you’ll be working with scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide.
Key job responsibilities
Drive end‑to‑end generative AI projects that have a high degree of ambiguity, scale, complexity.
Perform hands‑on analysis of data sets to identify insights and build models that enhance traffic monetization, merchandise sales, and the overall shopper experience.
Train generative AI and machine learning models, run proof‑of‑concept experiments, optimize, and deploy models at scale in production.
Work closely with software engineers on detailed requirements, technical designs and implementation of end‑to‑end solutions in production.
Research new and innovative generative AI and machine learning approaches.
Work closely with product managers to contribute to our mission, and proactively identify science opportunities to drive business.
Be a member of the Amazon‑wide machine learning community, participating in internal and external meetups, hackathons and conferences.
Basic Qualifications
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.
Preferred Qualifications
Experience in professional software development.
PhD, or a Master’s degree and experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF.
Experience with natural language processing and generative model architectures.
Background in advertising technology or e‑commerce platforms.
Demonstrated track record of innovative AI solution development.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $136,000/year in our lowest geographic market up to $223,400/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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