Amazon Principal Applied Scientist AI Enterprise Apps AWS Supply Chain 

United States, Washington, Seattle 

705005362

We're seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize, promote, and execute advanced solutions for previously unsolved challenges. As an Applied Scientist at AWS Supply Chain, you will bring AI advancements to customer facing enterprise applications. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products.About the team
Why AWSDiverse 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.
Work/Life BalanceInclusive Team CultureMentorship 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.

- PhD in one of the following disciplines: Computer Science, Machine Learning, Statistics, Applied Math or a related quantitative field
- 8+ years of relevant, broad research experience after PhD
- Publications at top-tier peer-reviewed conferences or journals in one of these areas: reinforcement learning, deep learning, and machine learning
- Fluency in Python, SQL or similar scripting languages
- Strong algorithm development experience
- Depth and breadth in state-of-the-art machine learning technologies
- Strong prior experience with mentorship and/or management of senior scientists and engineers.

-Experience programming in Java, C++, or related language
-Experience in building machine learning models for business application