Principal Scientist, Applied Science, Amazon One ID-12973

April 26, 2025

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

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Are you excited about developing state-of-the-art Deep Learning, Computer Vision and GenAI models using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? You enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts.

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.

About the team

Amazon One under AWS provides innovative biometric identity solutions for customers, offering seamless, contactless palm-based authentication with the same on-demand scalability, reliability, and machine learning expertise that drive Amazon services. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company.

BASIC QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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