Sr. Applied Scientist, US Prime and Marketing Tech jobs in United States
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Amazon · 2 hours ago

Sr. Applied Scientist, US Prime and Marketing Tech

Amazon is a leading global company focused on customer engagement and innovative technology. They are seeking a Senior Applied Scientist to create and optimize marketing solutions using machine learning, enhancing the shopping experience for customers worldwide.

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

Responsibilities

Help customers discover and engage with new, popular and relevant products across Amazon worldwide
Create and build critical services that automatically generate, target, and optimize Amazon’s cross-category marketing and merchandising
Enable intelligent marketing campaigns that leverage machine-learning models
Identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities
Design, develop, test, and deploy data-driven and highly scalable machine learning solutions in product recommendation
Set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms
Decompose complex problems into straightforward solutions

Qualification

Machine Learning ModelsNeural Deep LearningProgramming JavaProgramming C++Programming PythonModeling Tools RModeling Tools TensorflowLarge Scale Systems HadoopLarge Scale Systems SparkGenerative AI ToolsAnalytical Problem SolvingBusiness UnderstandingTechnical Savvy

Required

3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

Preferred

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
Experience with large scale distributed systems such as Hadoop, Spark etc
Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices
Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences

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