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Senior Applied Scientist II, Natural Language Processing
2 months ago
We are seeking a highly skilled Senior Applied Scientist II to join our team at Amazon Web Services, Inc. - A97. As a key member of our organization, you will be responsible for developing and implementing cutting-edge natural language processing (NLP) technologies to enhance our conversational AI systems.
Key Responsibilities- Design and develop novel algorithms and modeling techniques to advance the state-of-the-art in NLP
- Collaborate with internationally recognized experts to develop and deploy NLP solutions
- Work with large-scale computing resources to accelerate advances in language understanding
- Contribute to the development of industry-leading conversational AI systems
- PhD or Master's degree in Computer Science, Electrical Engineering, or related field
- 3+ years of experience in building models for business applications
- Experience in 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, or high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
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.
Why Join Us?- Be part of a diverse and inclusive workplace
- Work with a talented team of experts in NLP and AI
- Contribute to the development of innovative technologies that impact millions of customers
- Enjoy a comprehensive benefits package, including medical, financial, and other benefits
The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.