Amazon · 16 hours ago
Sr. Applied Scientist, Sponsored Products
New York, United States
Full-time
Onsite
Senior Level
$150K/yr - $260K/yr
6+ years expAmazon is a leading company in the advertising landscape, particularly through its Sponsored Products and Brands team, which leverages generative AI technologies to enhance product discovery and brand engagement. The Sr. Applied Scientist will lead scientific and engineering efforts across ad systems, collaborating with teams to implement innovations and optimize AI models for offsite shopping experiences.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Lead science and engineering needs across ad systems and models that power sponsored products ads for offsite shopping experiences
Collaborate with peers across engineering and product to bring scientific innovations into production
Surface qualitative and quantitative insights to shape product direction and ensure product-market fit
Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization
Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning
Prototype and iterate on multi-agent orchestration frameworks and workflows
Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications
Qualification
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 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 search advertising, search marketing, performance advertising, or similar digital advertising
Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field
Strong technical fluency in Generative AI
Deep understanding of large language models (LLMs), model fine tuning and prompt engineering
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
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