Applied Scientist, Sponsored Products and Brands jobs in United States
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Amazon · 17 hours ago

Applied Scientist, Sponsored Products and Brands

Amazon is revolutionizing the advertising landscape through generative AI technologies. The Applied Scientist will develop AI solutions for Sponsored Brands, drive the design of complex software systems, and collaborate with engineers and product managers to enhance advertising experiences.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

Responsibilities

Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build recommendation systems that leverage generative models to develop and improve campaigns
You invent and design new solutions for scientifically-complex problem areas and/or opportunities in new business initiatives
You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones
Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding
Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end
Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses
Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
Effectively communicate technical and non-technical ideas with teammates and stakeholders
Translate complex scientific challenges into clear and impactful solutions for business stakeholders
Stay up-to-date with advancements and the latest modeling techniques in the field

Qualification

Generative AIModel buildingRecommendation systemsProgramming in JavaProgramming in PythonAlgorithmsData structuresNumerical optimizationDeep curiosityUnix/LinuxProfessional software developmentAgentsLLMs

Required

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
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Deep curiosity, and basic knowledge on Gen AI

Preferred

Experience using Unix/Linux
Experience in professional software development
Previous work on agents or LLMs

Benefits

Equity
Sign-on payments
A full range of medical, financial, and/or other benefits

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase