Applied Scientist III, StoreGen
About The Position
Join our Generative AI focus team to innovate Software Development at Amazon Are you ready to be part of a team that's redefining the future of software engineering? Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale. 🎯 Our Mission We’re building the next generation of development tools — uncovering how LLMs can originate new ways of thinking, building, and collaborating. 💫 What Makes Us Different Ground-floor opportunity to shape the future of software development Direct impact on Amazon's global engineering practices Working with the latest technologies and large language models Culture of experimentation and innovative thinking 🔍 What We’re Looking For You’ll lead the research, design, and development of AI technologies that challenge conventional software practices and uncover new ways for engineers to build and collaborate. You’re comfortable working in ambiguous spaces, exploring emergent behaviors, and collaborating with designers, prototypers, and engineers to test hypotheses in live, evolving systems. You explore where LLMs behave in unexpected yet promising ways, especially in tasks like context retention, code reasoning, or agent behavior , and use those moments to uncover new AI-native workflows.
Requirements
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java)
- Previous work on agents or LLMs
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Nice To Haves
- Experience in areas like: + Information retrieval + Context and memory modeling + Agent behavior and autonomy + Code understanding and generation + Human-AI interaction
Responsibilities
- Prototype new ways of working with LLMs in engineering workflows
- Help shape and evaluate scientific approaches behind agentic systems and engineering tools
- Move fast with engineers and prototypers to guide design decisions and model choices
- Make sense of unexpected model behavior and guide what to try next
- Help the team uncover which surprises are worth pursuing and where to push beyond what’s already known.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
