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Senior Applied Scientist, AWS Identity
2 months ago
We are seeking a highly skilled Senior Applied Scientist to join our AWS Identity team. As a key member of our team, you will be responsible for developing and implementing cutting-edge machine learning solutions to enhance security and access management in the cloud.
Key Responsibilities- Define the scientific roadmap and identify relevant data to drive innovation in machine learning and AI.
- Propose and develop innovative machine learning solutions to address complex security and access management challenges.
- Conduct rigorous experiments and publish results to advance the field of machine learning and AI.
- Collaborate with the engineering team to deploy machine learning solutions and ensure seamless integration with existing systems.
- Identify investment opportunities and develop long-term strategies to drive business growth and innovation.
The AWS Identity team is a dynamic and innovative group of scientists and engineers who are passionate about developing cutting-edge solutions to enhance security and access management in the cloud. We are committed to fostering a culture of inclusion, diversity, and collaboration, and we are seeking talented individuals who share our values and vision.
About AWSAmazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate and push the boundaries of what is possible in the cloud. Our team is dedicated to providing the best possible experience for our customers, and we are committed to making AWS the go-to platform for businesses and organizations around the world.
What We Offer- A dynamic and innovative work environment that fosters collaboration, creativity, and growth.
- A competitive salary and benefits package that reflects the value we place on our employees.
- The opportunity to work on cutting-edge projects and develop innovative solutions that make a real impact.
- A comprehensive training and development program that helps you grow and succeed in your career.
- A diverse and inclusive work environment that values and celebrates individual differences.
- 3+ years of experience building machine learning models for business applications.
- Experience programming in Java, C++, Python, or related languages.
- PhD or Master's degree and 6+ years of applied research experience.
- Experience with neural deep learning methods and machine learning.
- Experience with large-scale machine learning systems, including profiling and debugging, and understanding of system performance and scalability.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.