Description Are you a Graduate Student interested in machine learning, natural language processing, computer vision, automated reasoning, robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. Key job responsibilities Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Amazon Scientist use our working backwards method to enrich the way we live and work. A day in the life Come teach us a few things, and we’ll teach you a few things as we navigate the most customer-centric company on Earth. Basic Qualifications - Master's degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, Robotics, Mathematics, Quantum Computing, Automated Reasoning or related fields and will graduate in 2027 - Proficiency in any programming language such as Python, Java, C++, SQL, Python, or similar scripting and programming languages Preferred Qualifications - PhD degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, Robotics, Mathematics, Quantum Computing, Automated Reasoning or related fields - Familiar with the core undergraduate curriculum of computer science. - Technical fluency; comfort understanding and discussing architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members. - Publications at top-tier peer-reviewed conferences or journals. - Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly in both verbal and written form. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.