Applied Scientist II, AI for Sponsored Ads & Brands

Amazon Inc.; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Inc. is seeking an Applied Scientist II for Sponsored Products and Brands to design and deploy ML models powering advertiser experiences at scale. You will work across teams to move ideas from research to production while balancing latency, accuracy, and business impact.

The role emphasizes collaboration with engineers and product teams, mentoring peers, and shaping the scientific roadmap for AI-powered advertising across Amazon Ads.

Qualifications

• 3+ years of building models for business applications.
• PhD or Master's + 4+ years in CS/CE/ML or related field.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, HPC.

Responsibilities

• Design and implement ML models powering advertiser-facing AI experiences, ensuring scientific rigor from research through production deployment.
• Conduct applied research to extend or invent new approaches for complex advertising problems where no textbook solutions exist.
• Collaborate with engineering, product, and science teams to integrate solutions into large-scale production systems serving millions of advertisers.
• Analyze experimental results and system performance to identify improvement opportunities, balancing model complexity, latency, and business impact.
• Mentor other scientists, provide peer feedback on research procedures and results, and contribute to the team's scientific roadmap and technical direction.

Skills

Business ML experience

Java/C++/Python

Algorithms & data structures

Distributed computing

Education

PhD

Masters + 4+ years

Tools

Java

C++

Python

Job description

Amazon Inc. is seeking an Applied Scientist II for Sponsored Products and Brands to design and deploy ML models powering advertiser experiences at scale. You will work across teams to move ideas from research to production while balancing latency, accuracy, and business impact.

The role emphasizes collaboration with engineers and product teams, mentoring peers, and shaping the scientific roadmap for AI-powered advertising across Amazon Ads.