Amazon Senior Applied Scientist Generative AI Innovation Center 

United States, Texas, Austin 

138247374

Diverse Experiences
AWS 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.Mentorship & 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.Work/Life Balance

- PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- 5+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
- 5+ years of building machine learning models or developing algorithms for business application experience

- Experience with training and deploying machine learning systems to solve large-scale optimizations
- Experience in communicating technical concepts to a non-technical audience
- Experience identifying and resolving complex issues
- Experience in delivering design solutions for projects of large scope and complexity
- Experience with open source tools and resources