Senior Applied Scientist: GenAI for Off-Search Ads

Amazon; New York (NY); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is recruiting an Applied Scientist for the Off-Search team within Sponsored Products and Brands (SPB) to advance generative AI and LLM-enabled advertising flows. You’ll influence ad retrieval, allocation, and personalized recommendations at scale across surfaces beyond search.

You will partner with engineers, scientists, and product leaders to push the boundaries of AI, delivering impactful shopping experiences and monetization strategies that balance advertiser needs

Qualifications

• 3+ years building machine learning models for business applications.
• PhD or Master’s with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Contribute to design and development of GenAI, deep learning, multi-objective optimization and reinforcement learning solutions for ad retrieval, auctions, and whole-page relevance.
• Collaborate with scientists, engineers, and product managers to deliver scalable, production-ready science solutions.
• Stay current with GenAI, LLM trends and bring innovative concepts to the organization.
• Improve technical rigor by implementing best-in-class algorithms and scalable infrastructure for rapid experimentation.
• Mentor and grow junior scientists and engineers to maintain a high-performing team.

Skills

ML models for business applications

Java

C++

Python

Deep learning

Education

PhD

Master's degree + 6+ years applied research

Tools

MxNet

TensorFlow

Job description

Amazon.com Services LLC is recruiting an Applied Scientist for the Off-Search team within Sponsored Products and Brands (SPB) to advance generative AI and LLM-enabled advertising flows. You’ll influence ad retrieval, allocation, and personalized recommendations at scale across surfaces beyond search.

You will partner with engineers, scientists, and product leaders to push the boundaries of AI, delivering impactful shopping experiences and monetization strategies that balance advertiser needs