Amazon · 9 hours ago
Applied Scientist, Off-Search Relevance, Sponsored Products
New York, NY
Full-time
Onsite
Mid, Senior Level
$136K/yr - $223K/yr
4+ years expAmazon is re-imagining the advertising landscape through state-of-the-art generative AI technologies. The Applied Scientist role focuses on building personalized ad experiences across various surfaces, leveraging AI to enhance ad retrieval and optimize customer engagement.
Artificial Intelligence (AI)DeliveryE-CommerceRetail
Responsibilities
Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences
Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life
Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization
Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling
Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team
Qualification
Required
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
3+ years of building models for business application experience
Experience programming in Java, C++, Python or related language
Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization
Experience developing and deploying models in real-world production environments
Preferred
Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks
Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale
Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)
Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce
Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences
Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics
Benefits
Equity
Sign-on payments
A 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 (18969)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
Kleiner 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
2025-12-30
Calcutta Telegraph
2025-12-30
2025-12-30
Company data provided by crunchbase