Applied Scientist, Sponsored Products jobs in United States
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Amazon · 7 hours ago

Applied Scientist, Sponsored Products

Amazon is revolutionizing the advertising landscape through generative AI technologies in their Sponsored Products and Brands team. The Applied Scientist will drive machine learning projects, perform data analysis, and develop innovative advertising solutions to enhance customer experiences and increase monetization.

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

Responsibilities

Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity
Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience
Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models
Run A/B experiments, gather data, and perform statistical analysis
Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving
Research new and innovative machine learning approaches

Qualification

Machine LearningData AnalysisGenerative AIProgramming in PythonLarge Language ModelsStatistical AnalysisCollaborationProblem SolvingCommunication

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

Preferred

Experience in professional software development
Experience in search advertising, search marketing, performance advertising, or similar digital advertising
Strong technical fluency in Generative AI
Deep understanding of large language models (LLMs), model fine tuning and prompt engineering
Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave

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