Amazon · 2 days ago
Sr Applied Scientist, Sponsored Products and Brands
New York, NY
Full-time
Onsite
Senior Level
$184K/yr - $249K/yr
6+ years expAmazon is re-imagining the advertising landscape through cutting-edge generative AI technologies within the Sponsored Products and Brands team. The role involves collaboration with various teams to optimize and monetize advertising strategies, while also leading the development of machine learning models to enhance the shopper experience.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Collaborate with business, engineering and science leaders to establish science optimization and monetization roadmap for Amazon Retail Ad Service
Drive alignment across organizations for science, engineering and product strategy to achieve business goals
Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon advertisers and third party retailers
Develop state of the art experimental approaches and ML models to keep up with our growing needs and diverse set of customers
Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done
Qualification
Required
PhD, or Master's degree and 6+ years of applied research experience
3+ years of building machine learning models for business application experience
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning
Master's degree, or a PhD and experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
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 in auctions or mechanism design
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
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
2026-01-14
2026-01-14
2026-01-14
Company data provided by crunchbase