Amazon Principal Scientist Applied Science Amazon One 

United States, Washington, Seattle 

487273844

We're seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize, promote, and execute cutting-edge solutions for previously unsolved challenges. As an Applied Scientist at Amazon One, you will bring AI advancements to build foundational models for customer-facing identity/biometrics solutions in complex industrial settings. 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.
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 degree in Computer Science, Applied Math, or a related field with strong publications in refereed academic journals/conferences
- 10+ years of combined academic and applied research experience
- 10+ years of hands-on experience developing software in traditional programming languages (C++, Java, Python etc.)
- 7+ years of hands-on experience with ML framework such as TensorFlow, PyTorch, Scikit-learn etc.
- Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results to influence important decisions
- Functional thought leader, sought after for key tech decisions

- PhD in Computer Science (or equivalent) with specialization in deep learning and computer vision.
- Extensive experience writing scientific papers, with multiple publications in top machine learning, computer vision conferences/journals.
- Expertise in building large computer vision foundation models, generative models, transformers.
- 10+ years of building business application with deep learning toolkits and frameworks