Amazon
Applied Scientist, Data Processing Agents Science
$172K–$222K
Santa Clara, CA · Full-time · Posted Jul 30, 2026
- Experience
- Master's degree and 4+ years of CS, CE, ML or related field experience; or PhD. Also requires 3+ years research experience applying agentic AI or ML techniques to systems problems.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
About the job
Designs and builds agentic AI/ML solutions and automation to simplify, optimize, and automate AWS customers’ big data processing workflows, taking scientific work from research and benchmarking through production launch.
What you'll do
- Define science features with product leaders and customers; research approaches and develop science plans.
- Build and benchmark agentic science implementations, then partner with engineering teams to launch them in production.
- Publish and present scientific work and mentor interns and science peers.
What they ask for
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python or related language.
- 3+ years research experience applying agentic AI or ML techniques to systems problems in programming languages, databases, or distributed systems.
Nice to have
- Experience solving business problems through machine learning, data mining and statistical algorithms.
- Experience in data applications using large scale distributed systems.
Pay
USD 171,600.00 - 222,200.00 annually (base salary)
Tools
Java, C++, Python, EMR, Spark, Elasticsearch, Hadoop, Pig
AI focus
Apply agentic AI/ML to systems problems and build ML-powered automation for big data processing workflows.
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