- Work with a team of internationally recognized experts to create innovative algorithms and modeling techniques in human language technology.
- Utilize Amazon's vast text and data sources, along with large-scale computing resources, to enhance language understanding.
- Be part of a team dedicated to advancing NLP/ML/LLM technology and providing creative solutions for large-scale NLP requirements.
- Opportunity to participate in pioneering research and shape the science roadmap of the team.
- Experience a dynamic and entrepreneurial environment within AWS, a leading cloud company.
- PhD or Master's degree with 4+ years of experience in CS, CE, ML, or related field.
- Background in patents or publications at top-tier conferences or journals.
- Proficiency in Java, C++, Python, or similar languages.
- Experience in professional software development.
- 3+ years of building ML models or developing algorithms for business applications.
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Applied Scientist - Santa Clara, United States - Amazon, Inc.
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Description
Amazon is seeking an Applied Scientist
Amazon is searching for a vibrant Applied Scientist with a solid machine learning background to contribute to the development of cutting-edge language technology.
About the Team
AWS Utility Computing provides innovative products and services, including foundational services like Amazon's S3 and EC2. Join a team that supports the development of various services in AWS, catering to customers' specialized security needs.
Why AWS?
AWS is the most widely adopted cloud platform globally, trusted by startups and Fortune 500 companies alike. Embrace a culture of inclusivity and continuous learning, with mentorship and resources for career growth.
Inclusive Team Culture
Encouraging diversity and curiosity, affinity groups at AWS foster inclusivity and uniqueness. Engage in events and experiences that celebrate differences and inspire continuous learning.
Mentorship & Career Growth
Benefit from knowledge-sharing and mentorship opportunities to enhance your professional development. AWS is committed to helping employees evolve into well-rounded professionals.
Work/Life Balance
Striving for work-life harmony, AWS offers flexibility in the workplace to ensure success without sacrificing personal well-being.
Hybrid Work
Balance innovation and collaboration with a mix of focused work time and in-person interactions. Choose between daily office work or a flexible, hybrid model at various Amazon office locations.
Basic Qualifications
Preferred Qualifications
Amazon promotes a diverse and inclusive workplace, providing equal opportunities regardless of race, gender, or background. Offering competitive compensation, including a comprehensive benefits package.
This unique position will be open until filled, and all applications should be submitted through the appropriate channels.