Amazon
Applied Scientist, AWS Quick
$143K–$223K
Seattle, WA +1 · Full-time · Posted Aug 18, 2026
- Location
- Seattle, WA
New York, NY - Experience
- 3+ years building models for business applications; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Develops automated reasoning and intelligent automation solutions for AWS using neural learning and symbolic or formal reasoning, and produces scientific artifacts and publications.
What you'll do
- Define and implement scalable automated reasoning features for complex problems.
- Apply software engineering best practices and deliver high-quality scientific artifacts.
- Collaborate with technical and business teams to inform business decisions.
What they ask for
- 3+ years of building models for business application experience.
- 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.
- Programming experience in Java, C++, Python or a related language, plus experience in at least one listed area: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- Experience using Unix/Linux.
- Experience in professional software development.
Pay
172,400.00 - 223,400.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, Unix/Linux
AI focus
Research and develop intelligent automation and automated reasoning, with relevant areas including autonomous agents, API orchestration, planning, large multimodal models (especially vision-language models), reinforcement learning, and sequential decision making.
Model-written summary · the original posting is authoritative