Amazon Senior Applied Scientist AI Science GCF ACES 

United States, Washington, Bellevue 

849664962

The Applied Scientist candidate will have deep expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and extensive experience with AWS technologies. This role requires someone who can work independently in an ambiguous environment while collaborating with cross-functional teams to drive innovation in the GenAI space. A successful candidate is someone who is an excellent communicator and can explain complex technical concepts to various audiences, can frame loosely defined problems into well-defined GenAI business problems, and is a strategic thinker who can balance research innovation with business requirements and product delivery.Key job responsibilities
* Lead the development of enterprise-grade GenAI solutions, using LLMs, embedding models, and multi-modal AI systems.
* Design and implement scalable architectures for GenAI applications using AWS services in a production environment.
* Closely collaborate with program and product teams to identify and implement novel GenAI use cases.
* Develop and implement evaluation frameworks for GenAI models.
* Author technical papers and present at internal/external conferences.
* Mentor junior scientists and contribute to the team's technical strategy.

- 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 neural deep learning methods and machine learning
- Knowledge of programming languages such as C/C++, Python, Java or Perl

- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability