Amazon Principal Applied Scientist AGI Data Services 

United States, Washington, Bellevue 

558110255

Key job responsibilities
As a Principal Scientist within the AGI-DS organization, you will be a trusted part of the technical leadership. You will bring a deep understanding of business and industry context to drive science and technology decisions that shape the development of algorithms and models across the organization. By setting the standard for scientific excellence, you will make critical decisions that align with the strategic goals of the company.You will solicit diverse perspectives from across the organization, challenge assumptions, and remain open to changing your views as you learn more. Your technical artifacts and solutions will be exemplary, serving as references and models of excellence for the broader team. You will tackle intrinsically complex problems, acquiring new expertise as needed, and decomposing challenges into straightforward, elegant solutions.You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

- PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science
- 10+ years of combined academic and research experience.
- Strong publication record in top-tier journals and conferences.
- Functional thought leader, sought after for key tech decisions. Can successfully sell ideas to an executive level decision maker.
- Mentors and trains the scientist community on complex technical issues.
- Experience developing software in traditional programming languages (C++, Java, etc..).
- Excellent written and spoken communication skills