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Amazon Senior Applied Scientist AWS Identity 
United States, Washington, Seattle 
784701090

09.09.2024
DESCRIPTION

The Automated Reasoning & Identity Science team at AWS is looking for a passionate, talented, and inventive scientist with a strong machine learning background. In this role, you will help build transformative solutions for security and access management, by developing state of the technology in machine learning, generative AI and foundational models. Your experience with anomaly detection, classification systems, model development and fine tuning will set you up for success in this role.Key job responsibilities
You will define the scientific roadmap, identify relevant data, propose innovative machine learning solutions, conduct rigorous experiments, publish results, and work with the engineering team to deploy these solutions.You will identify investment opportunities, develop long term strategies, and propose, prioritize, and deliver on goals. You’ll 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 scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
About AWSDiverse ExperiencesAWS 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.Mentorship & Career GrowthWe’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.Work/Life BalanceHybrid WorkUtility Computing (UC)

BASIC QUALIFICATIONS

- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- PhD, or Master's degree and 6+ years of applied research experience


PREFERRED QUALIFICATIONS

- Experience with neural deep learning methods and machine learning
- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability