Job ID: 10534996 | Amazon Web Services Development Center Germany GmbH
We are looking for a Applied Scientist who is passionate about building services and tools for developers that leverage generative artificial intelligence and machine learning. You will be part of a team building Large Language Model (LLM)-based services with the focus on enhancing the developer experience in the Cloud. The team works in close collaboration with other AWS services such the AWS IDE Toolkit, AWS Bedrock, AWS MCPs and Agent Toolkit and develops aws-bench Open Source agent benchmark. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.
As a Applied Scientist, you love designing, implementing, and evaluating machine learning solutions to difficult applied problems, and diving into complex data sources crawled from the web or internal logging tools. You are recognized for your expertise and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.
You actively participate in mindful discussions with customers, engineers, and scientist peers, and define the right modeling and component design approach and implement ML solutions to achieve the desired customer experience and scientific and business outcomes.
Key job responsibilities
- - Use Python and various open source libraries to develop and/or improve LLMs, AI agents and agentic tools for business applications
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Applied Scientist, AWS Developer Tools Science in Berlin Arbeitgeber: Amazon Inc.
Als Arbeitgeber bietet Amazon in Rheinberg eine dynamische und inklusive Arbeitsumgebung, die auf Teamarbeit und persönliche Entwicklung setzt. Mit einem umfassenden Onboarding-Programm und der Möglichkeit, Führungsverantwortung zu übernehmen, fördern wir das Wachstum unserer Mitarbeitenden und bieten zahlreiche Chancen zur Weiterbildung. Unsere Unternehmenskultur legt großen Wert auf Sicherheit, Prozessoptimierung und Nachhaltigkeit, was uns zu einem attraktiven Arbeitgeber für alle macht, die eine bedeutungsvolle Karriere im Bereich Logistik und Kundenservice anstreben.