Applied Scientist III, StoreGen

Job ID: | Amazon.com Services LLCOverviewJoin 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 MissionWe’re building the next generation of development tools — uncovering how LLMs can originate new ways of thinking, building, and collaborating.What Makes Us DifferentGround‑floor opportunity to shape the future of software developmentDirect impact on Amazon's global engineering practicesWorking with the latest technologies and large language modelsCulture of experimentation and innovative thinkingWhat We’re Looking ForYou’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.Experience & TopicsInformation retrievalContext and memory modelingAgent behavior and autonomyCode understanding and generationHuman‑AI interactionWhat You'll DoPrototype new ways of working with LLMs in engineering workflowsHelp shape and evaluate scientific approaches behind agentic systems and engineering toolsMove fast with engineers and prototypers to guide design decisions and model choicesMake sense of unexpected model behavior and guide what to try nextImpactYour work will surface where LLMs can meaningfully change how Amazon engineers build. You’ll help the team uncover which surprises are worth pursuing and where to push beyond what’s already known.Basic Qualifications3+ years of building machine learning models for business application experiencePhD, or Master’s degree and 6+ years of applied research experienceExperience in patents or publications at top‑tier peer‑reviewed conferences or journalsStrong analytical, mathematical, and coding skills (e.g., Python, C++, or Java)Previous work on agents or LLMsPreferred QualificationsExperience 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.Equal Opportunity StatementAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.CompensationOur compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.#J-18808-Ljbffr