Principal Applied Scientist, Sponsored Products and Brands
Job 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. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. 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 modes of input. 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 the space of 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’s 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 teamThe 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.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!
Locations
- United States, VA, Arlington, Arlington, VA, United States
- United States, CA, Palo Alto, Palo Alto, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
300,000 - 450,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Experience in building complex, real-time systems using GenAI, with successful delivery to customers.intermediate
Required Qualifications
- - PhD or equivalent in Computer science/Math or related field. (degree in equivalent in computer science)
- - Experience in building complex, real-time systems using GenAI, with successful delivery to customers. (experience)
- - Computer Science fundamentals in data structures, algorithm design and complexity analysis. (experience)
- - Ability to develop machine learning platform strategy in the domain of recommender systems. (experience)
- - Ability to develop a GenAI strategy for recommender systems. (experience)
Preferred Qualifications
- 10+ years of relevant, broad research experience after PhD degree or equivalent. (experience, 10 years)
- Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput. (experience)
- Proficiency in programming for algorithm and code reviews. (experience)
- Strong core competency in mathematics and statistics. (experience)
- Track record of successful projects in algorithm design and product development. (experience)
- Publications at top-tier peer-reviewed conferences or journals. (experience)
- Experience with mentorship and/or management of senior scientists and engineers. (experience)
- 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. (experience)
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. (experience)
- Ability to take a project from requirements gathering and design to actual product launch. (experience)
- Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
- 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. 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. (experience)
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.
- Curious about our advertising solutions? Discover more about <a href="https://advertising.amazon.com/solutions/products/sponsored-products">Sponsored Products</a> and <a href="https://advertising.amazon.com/solutions/products/sponsored-brands">Sponsored Brands</a> to see how we’re helping businesses grow on <a href="https://www.amazon.com/">Amazon.com</a> and beyond!
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Principal Applied Scientist, Sponsored Products and Brands
Job 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. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. 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 modes of input. 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 the space of 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’s 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 teamThe 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.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!
Locations
- United States, VA, Arlington, Arlington, VA, United States
- United States, CA, Palo Alto, Palo Alto, CA, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
300,000 - 450,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Experience in building complex, real-time systems using GenAI, with successful delivery to customers.intermediate
Required Qualifications
- - PhD or equivalent in Computer science/Math or related field. (degree in equivalent in computer science)
- - Experience in building complex, real-time systems using GenAI, with successful delivery to customers. (experience)
- - Computer Science fundamentals in data structures, algorithm design and complexity analysis. (experience)
- - Ability to develop machine learning platform strategy in the domain of recommender systems. (experience)
- - Ability to develop a GenAI strategy for recommender systems. (experience)
Preferred Qualifications
- 10+ years of relevant, broad research experience after PhD degree or equivalent. (experience, 10 years)
- Deep expertise and knowledge of Generative AI methods involved in pre/post training, LLM optimizations for performance and throughput. (experience)
- Proficiency in programming for algorithm and code reviews. (experience)
- Strong core competency in mathematics and statistics. (experience)
- Track record of successful projects in algorithm design and product development. (experience)
- Publications at top-tier peer-reviewed conferences or journals. (experience)
- Experience with mentorship and/or management of senior scientists and engineers. (experience)
- 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. (experience)
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. (experience)
- Ability to take a project from requirements gathering and design to actual product launch. (experience)
- Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. (experience)
- 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. 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. (experience)
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.
- Curious about our advertising solutions? Discover more about <a href="https://advertising.amazon.com/solutions/products/sponsored-products">Sponsored Products</a> and <a href="https://advertising.amazon.com/solutions/products/sponsored-brands">Sponsored Brands</a> to see how we’re helping businesses grow on <a href="https://www.amazon.com/">Amazon.com</a> and beyond!