Job Description

Join to apply for the Principal Applied Scientist role at Amazon .

At Amazon, we believe that scientific innovation is essential to being the most customer-centric company in the world. Our scientists' ability to have an impact at scale allows us to attract some of the brightest minds in machine learning, artificial intelligence and related fields. Amazon scientists employ the company's working backwards method to identify problems to solve on behalf of customers in research areas ranging from machine learning to operations, GenAI, robotics, quantum computing, computer vision, economics, search, sustainability and more. Learn more about Amazon Science here:

We are hiring across multiple businesses and in many locations across the US. Apply here to learn more about open roles that could be a compelling fit for your background.

Key job responsibilities

• You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice.
• You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them.
• You will also participate in organizational planning, hiring, mentorship and leadership development.
• You will be technically fearless and with a passion for building scalable science and engineering solutions.
• You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

Basic Qualifications

• PhD in 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 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

Preferred Qualifications

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner.

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

Company - Amazon.com Services LLC - A57

Job ID: A2821890

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