Job Description
Amazon AI is seeking an Applied Scientist to join our science team in the area of Natural Language Processing and Health AI. Our organization is responsible for developing the science that powers AWS's cloud-based AI services. Our mission is to empower every developer with the capabilities of AI, advancing the state of the art in machine learning to create services that delight our customers and meet real-world business needs.
Key Responsibilities
As an Applied Scientist, you will:
- Collaborate with talented scientists and engineers to design, train, test, and deploy machine learning models.
- Contribute to innovative features and improve our services based on customer requirements.
- Maintain a highly scalable data and model management infrastructure that supports cutting-edge research.
- Translate business and engineering requirements into deliverables and software products.
Qualifications
-
Basic Qualifications
- PhD, or Master's degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field.
- 3+ years of experience building models for business applications.
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.
- Proficiency in programming languages such as Java, C++, or Python.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing.
-
Preferred Qualifications
- Experience using Unix/Linux.
- Experience in professional software development.
About The Team
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
At AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & 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.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.
Benefits Extracted with AI
- Medical insurance
- Financial benefits
- Career growth opportunities
- Work-life balance
- Hybrid work model
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