Senior Applied Scientist
hace 3 días
**About the Opportunity**
We are seeking a talented Senior Applied Scientist to join our Community Data & Science team at Amazon. This role will involve working on cutting-edge AI technologies to help build LLM solutions for Community Feedback.
**Job Summary**
As a Senior Applied Scientist, you will be responsible for developing and deploying state-of-the-art machine learning models that analyze, understand, structure, and present customer-generated content to help customers make informed purchase decisions. You will work with a dynamic team of scientists and engineers to innovate and push the boundaries of what is possible with AI.
**Key Responsibilities**
* Develop and deploy machine learning models that shape community content corpus, extract insights, and present content to shoppers* Work on a variety of projects, including generative AI, LLM fine-tuning, alignment, prompt engineering, and benchmarking solutions* Mentor junior scientists on the team* Collaborate with cross-functional teams to integrate ML models into business applications* Stay up-to-date with the latest developments in AI and machine learning research
**Requirements**
* PhD or Master's degree in Computer Science, Engineering, or related field* 3+ years of experience building machine learning models for business applications* Strong programming skills in Java, C++, Python, or related languages* Experience with neural deep learning methods and machine learning frameworks* Excellent problem-solving skills and ability to work in a fast-paced environment*
**Benefits**
* Competitive salary: $250,000 per year* Opportunities for professional growth and development* Collaborative and dynamic work environment* Comprehensive benefits package including medical, dental, and vision insurance, 401(k) matching, and more* Access to cutting-edge AI tools and technologies* Ability to make a meaningful impact on the future of e-commerce*
**Why Amazon?**
Amazon is an equal opportunities employer that values diversity and inclusion. We believe that employing a diverse workforce is central to our success and make recruiting decisions based on your experience and skills. We are committed to protecting your privacy and security, and you can review our Privacy Notice for more information.
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