Amazon · 1 month ago
Applied Scientist, Ads Measurement Science
New York, New York, USA
Full-time
Onsite
Mid, Senior Level
$136K/yr - $223K/yr
4+ years expAmazon is a leading technology company known for its innovative solutions in various domains. They are seeking an Applied Scientist to lead measurement solutions for their Ads Measurement Science team, focusing on developing and productionizing models that provide insights into ad performance and optimizing advertiser media portfolios.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
Disambiguate problems to propose clear evaluation frameworks and success criteria
Work autonomously and write high quality technical documents
Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production
Partner closely with other scientists to deliver large, multi-faceted technical projects
Share and publish works with the broader scientific community through meetings and conferences
Communicate clearly to both technical and non-technical audiences
Contribute new ideas that shape the direction of the team's work
Mentor more junior scientists and participate in the hiring process
Qualification
Required
2+ 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 building machine learning models or developing algorithms for business application
Preferred
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Experience in professional software development
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Experience in designing experiments and statistical analysis of results
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
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
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Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-17
2026-01-17
Company data provided by crunchbase