Amazon · 1 week ago
Senior Applied Scientist, Ads Measurement Science
New York, NY
Full-time
Onsite
Senior Level
$184K/yr - $249K/yr
5+ years expAmazon is a leading company in the technology sector, and they are seeking a Senior Applied Scientist for their Ads Measurement Science team. This role involves leading the development of innovative measurement solutions leveraging advanced scientific methods and technologies to provide actionable insights for advertisers.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Lead a team of scientists to innovate on state-of-the-art ads measurement solutions leveraging artificial intelligence, causal inference, natural language processing, computer vision, and large language models
Directly contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path code
Lead the decomposition of problems and development of roadmaps to execute on it
Set an example for others with exemplary analyses; maintainable, extensible code; and simple, effective solutions
Influence team business and engineering strategies
Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives
Foster collaborations among scientists and engineers to move fast and broaden impact
Actively engage in the development of others, both within and outside of the team
Regularly engage with the broader science community with presentations, publications, and patents
Qualification
Required
5+ years of building machine learning models for business application experience
PhD, or Master's degree and 8+ 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
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
5+ years of building machine learning models or developing algorithms for business application experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
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
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
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 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
2026-01-25
2026-01-25
2026-01-25
Company data provided by crunchbase