Amazon Sr Applied Scientist NGDE Science 

Germany, Berlin 

304374031

Amazon AI is looking for world class scientists to join its AWS AI. This group is entrusted with developing core natural language processing, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS Q, a generative AI–powered assistant for enterprise computing, and work with other acclaimed engineers and world famous scientists.
Key job responsibilities
- Solve complex problems related to the creation of autonomous agents for software engineering
- Mentor and develop younger scientists
- Contribute to the definition of the product roadmap and scientific strategyWhy AWSWork/Life Balance
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- PhD, or Master's degree and 5+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience with programming in Java, Python or related language
- Experience with neural deep learning methods and machine learning

- PhD in Machine Learning or related topics
- Publications in top tier ML conferences (e.g., ICML, NeurIPS, ICLR) or NLP conferences (e.g., ACL)
- Previous work on agents or LLMs