Amazon
Applied Scientist III, Sponsored Products and Brands - Advertiser Growth - Cross-border Seller Experience (CBSX)
$167K–$249K
Seattle, WA +2 · Full-time · Posted Sep 4, 2026
- Location
- Seattle, WA
New York, NY
SEATTLE, WA - Experience
- 5+ years building machine learning models for business applications; PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Build and launch machine-learning and generative-AI systems that automate advertising and help cross-border sellers grow across Amazon marketplaces.
What you'll do
- Develop and evaluate campaign automation systems and models for opportunity discovery, ranking, ad readiness, demand prediction, and bid and budget optimization.
- Build agentic architecture, datasets, safety methods, and production components for reliable campaign automation at scale.
- Lead scientific work, collaborate with product and engineering partners, mentor colleagues, and communicate results and tradeoffs.
What they ask for
- 5+ years of experience building machine learning models for business applications.
- PhD, or Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
- Experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, or scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
183,800.00 - 248,700.00 USD annually (base salary); 167,100.00 - 226,100.00 USD annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, Tensorflow, Spark
AI focus
Develop generative-AI and agentic systems that autonomously create, structure, and manage ad campaigns; apply ML and LLM/reasoning methods to campaign optimization; define evaluation and safety approaches.
Model-written summary · the original posting is authoritative