Principal Applied Scientist, Sponsored Products and Brands

Job ID: | Amazon.com Services LLC

The Sponsored Products (SP) team is looking for a Principal Applied Scientist to help 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!

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.

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

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 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. 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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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