Applied AI Scientist II - Ads & Brands

Amazon Inc.; Bellevue (WA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health insurance

RRSP

DPSP

Paid time off

Stock-based compensation

Job summary

Amazon Ads is seeking an Applied Scientist II for Sponsored Products and Brands. You will design and deploy ML models powering advertiser-facing AI experiences, driving performance and insights across millions of advertisers.

The role emphasizes collaboration with software engineers, product managers, and scientists to translate research into production systems and measurable business impact, while mentoring teammates and advancing the science roadmap.

Qualifications

• 3+ years of building models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

• Design and implement machine learning models and algorithms powering advertiser-facing AI experiences.
• Conduct applied research to extend or invent new approaches for complex advertising problems.
• Collaborate with engineering, product, and science teams to deploy solutions into large-scale production systems.
• Analyze experimental results and system performance to identify improvement opportunities, balancing model complexity, latency, and business impact.
• Mentor other scientists and contribute to the team's scientific roadmap and direction.

Skills

Java

C++

Python

Algorithms & data structures

Parsing

Numerical optimization

Data mining

Parallel and distributed computing

High-performance computing

Tools

Unix/Linux

Job description

Amazon Ads is seeking an Applied Scientist II for Sponsored Products and Brands. You will design and deploy ML models powering advertiser-facing AI experiences, driving performance and insights across millions of advertisers.

The role emphasizes collaboration with software engineers, product managers, and scientists to translate research into production systems and measurable business impact, while mentoring teammates and advancing the science roadmap.