Amazon Applied Scientist Generative AI Innovation Center 

Italy, Lazio 

386681823

Key job responsibilities
The primary responsibilities of this role are to:• Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries• Interact with customer directly to understand their business problems, and help them with defining and implementing scalable Generative AI solutions to solve them• Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new solution
Diverse 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.Why AWSWork/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.Rome, RM, ITA

Several years of building models for business application experiencePhD, or Master's degree and several years of CS, CE, ML or related field experienceExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingExperience with neural deep learning methods and machine learning

Experience in professional software developmentPhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative fieldPractical experience in solving complex problems in an applied environmentHands on experience building models with deep learning frameworks like MXNet, Tensorflow, or PyTorchStrong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-expertsScientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.