Senior Applied Scientist, Sponsored Products and Brands jobs in United States
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Amazon · 1 day ago

Senior Applied Scientist, Sponsored Products and Brands

Amazon is at the forefront of re-imagining the advertising landscape through generative AI technologies. They are seeking a Senior Applied Scientist to lead the generation of data-driven insights and create personalized shopping experiences for brand stores, influencing the team's science and business strategy.

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

Responsibilities

Be the technical leader in Machine Learning; lead efforts within this team and across other teams
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
Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity
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
Recruit Applied Scientists to the team and provide mentorship

Qualification

Machine LearningData AnalysisStatistical AnalysisPythonJavaC/C++Neural Deep LearningLarge Scale SystemsMentorshipTechnical Leadership

Required

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

Preferred

Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Experience with large scale distributed systems such as Hadoop, Spark etc

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