Amazon
Principal Applied Scientist, Sponsored Products and Brands
Amazon, Palo Alto, California, United States, 94306
Principal Applied Scientist, Sponsored Products and Brands
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Principal Applied Scientist, Sponsored Products and Brands
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Amazon . Description The Sponsored Products (SP) team is looking for a Principal Scientist to help our millions of shoppers intuitively navigate our vast inventory by harnessing the power of ML and GenAI models. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SP helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team’s primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day. As a Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of ML and GenAI models for ranking and retrieval systems. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other input modes. You will liaise with internal Amazon partners and work on bringing state-of-the-art models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in AI/ML/GenAI modeling and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer needs, and translate it into actionable plans for our team of applied scientists and engineers. Key job responsibilities You define technical and scientific strategies to make progress on difficult scientific problems that are still unsolved at Amazon. Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand. You invent new scientific techniques and paradigms to address our customers' needs and business problems. You are a role model and help grow other scientists in the organization. You have deep and broad expertise in Artificial Intelligence and GenAI. You draw from scientific and industrial maturity to make strategic judgement calls. You have 10+ years of research experience after a PhD degree. About The Team 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. Within Sponsored Product and Brands, the Demand Utilization Venture team researches and deploys Generative AI and Reinforcement Learning solutions to improve our understanding of shoppers needs, our understanding of advertisers intent, and how we find the right sponsored products for the right shopper in the right search context. Basic Qualifications PhD or equivalent in Computer Science/Math or related field. Experience in building complex, real-time systems using GenAI, with successful delivery to customers. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategy in the domain of recommender systems. Ability to develop a GenAI strategy for recommender systems. Preferred Qualifications 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput. Proficiency in programming for algorithm and code reviews. Strong core competency in mathematics and statistics. Track record of successful projects in algorithm design and product development. Publications at top-tier peer-reviewed conferences or journals. Experience with mentorship and/or management of senior scientists and engineers. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from big data. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Equal Opportunity Employment: 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, 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 $179,000/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. This position will remain posted until filled. Applicants should apply via our internal or external career site. Company
- Amazon.com Services LLC Job ID: A3103340
#J-18808-Ljbffr
Join to apply for the
Principal Applied Scientist, Sponsored Products and Brands
role at
Amazon . Description The Sponsored Products (SP) team is looking for a Principal Scientist to help our millions of shoppers intuitively navigate our vast inventory by harnessing the power of ML and GenAI models. Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, SP helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team’s primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day. As a Principal Scientist in Sponsored Products, you will have deep subject matter expertise in the area of ML and GenAI models for ranking and retrieval systems. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other input modes. You will liaise with internal Amazon partners and work on bringing state-of-the-art models to production in the retrieval and relevance ranking models used in Sponsored Products. You will stay abreast of the latest developments in AI/ML/GenAI modeling and identify opportunities to improve the efficiency and productivity of the team. You will define a long-term science vision for our advertising business, driven by our customer needs, and translate it into actionable plans for our team of applied scientists and engineers. Key job responsibilities You define technical and scientific strategies to make progress on difficult scientific problems that are still unsolved at Amazon. Your influence scientific and engineering methods across all of Sponsored Product and Sponsored Brand. You invent new scientific techniques and paradigms to address our customers' needs and business problems. You are a role model and help grow other scientists in the organization. You have deep and broad expertise in Artificial Intelligence and GenAI. You draw from scientific and industrial maturity to make strategic judgement calls. You have 10+ years of research experience after a PhD degree. About The Team 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. Within Sponsored Product and Brands, the Demand Utilization Venture team researches and deploys Generative AI and Reinforcement Learning solutions to improve our understanding of shoppers needs, our understanding of advertisers intent, and how we find the right sponsored products for the right shopper in the right search context. Basic Qualifications PhD or equivalent in Computer Science/Math or related field. Experience in building complex, real-time systems using GenAI, with successful delivery to customers. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategy in the domain of recommender systems. Ability to develop a GenAI strategy for recommender systems. Preferred Qualifications 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput. Proficiency in programming for algorithm and code reviews. Strong core competency in mathematics and statistics. Track record of successful projects in algorithm design and product development. Publications at top-tier peer-reviewed conferences or journals. Experience with mentorship and/or management of senior scientists and engineers. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from big data. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Equal Opportunity Employment: 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, 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 $179,000/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. This position will remain posted until filled. Applicants should apply via our internal or external career site. Company
- Amazon.com Services LLC Job ID: A3103340
#J-18808-Ljbffr