Amazon
Sr. Applied Scientist, Ads AI Core Infrastructure
$167K–$260K
Seattle, WA +2 · Senior · Full-time · Posted Mar 31, 2026
- Location
- Seattle, WA
New York, NY
Palo Alto, CA - Experience
- 3+ 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
About the job
Researches and productionizes methods that help advertising AI agents retrieve, interpret, and use advertiser data accurately with low latency and token consumption.
What you'll do
- Develop and evaluate agent orchestration, context optimization, and RAG-based retrieval methods.
- Analyze advertiser interactions and run experiments; deploy research innovations with engineering teams.
- Publish research, file patents, and collaborate with agent, platform, and product teams.
What they ask for
- 3+ 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, scipy.
- Experience with large-scale distributed systems such as Hadoop or Spark.
Pay
USD 192,200.00 - 260,000.00 annually (base salary); USD 183,800.00 - 248,700.00 annually (base salary); USD 167,100.00 - 226,100.00 annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, Tensorflow, Hadoop
AI focus
Generative AI and agentic systems: agent orchestration, context and token optimization, CodeAct, RAG-based embeddings, semantic retrieval, and evaluation for advertiser-data interaction.
Model-written summary · the original posting is authoritative