Senior Applied Scientist, Community Data and Science
hace 3 semanas
Job Summary
We are seeking a highly skilled Senior Applied Scientist to join our Community Data and Science team at Amazon. As a key member of our team, you will be responsible for developing and deploying machine learning models that help customers make informed purchasing decisions.
About the Team
The Community Data and Science team focuses on analyzing and understanding customer-generated content to provide valuable insights to shoppers. We build and own ML models that help with shaping the community content corpus, extracting insights from the content, and presenting the content and insights to shoppers.
Key Responsibilities
As a Senior Applied Scientist, you will work on state-of-the-art technologies, including generative AI, LLM fine-tuning, alignment, prompt engineering, and benchmarking solutions. You will have the opportunity to implement algorithms and see how they perform in the field. You will also mentor junior scientists on the team and contribute to the development of new ideas and solutions.
Requirements
We are looking for a candidate with a PhD or Master's degree and 3+ years of experience in building machine learning models for business applications. You should have experience programming in Java, C++, Python, or related languages, as well as experience with neural deep learning methods and machine learning. Preferred qualifications include a PhD and 7+ years of post-PhD academic or industry applied research experience, experience with professional software development, and publications at top-tier peer-reviewed conferences or journals.
What We Offer
Amazon is an equal opportunities employer and offers a dynamic and driven work environment. We believe passionately that employing a diverse workforce is central to our success.
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