Principal Scientist, Applied Science, Amazon One

Principal Scientist, Applied Science, Amazon One

Job ID: 2945392 | Amazon.com Services LLC

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.

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit this link.

This position will remain posted until filled. Applicants should apply via our internal or external career site.

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