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Senior AI Research Scientist, Community Insights
hace 2 meses
About the Role:
A Senior Applied Scientist with a background in AI, Gen AI, Machine Learning, and NLP is required to work on state-of-the-art technologies. The successful candidate will be responsible for implementing algorithms and seeing their performance in the field. The team works on various projects including generative AI, LLM fine-tuning, alignment, prompt engineering, and benchmarking solutions.
Key Responsibilities:
The role involves working on several projects simultaneously, mentoring junior scientists, and publishing papers. As a member of the Community Data & Science team, you will focus on analyzing, understanding, structuring, and presenting customer-generated content to help customers make informed purchasing decisions. This includes shaping the community content corpus, extracting insights from the content, and presenting it to shoppers.
About the Team:
The Community Data & Science team focuses on developing ML models that support experiences like content solicitation, submission, moderation, ranking, and summarization. To achieve this, the team requires strong technical skills, particularly in neural deep learning methods and machine learning.
Requirements:
To succeed in this role, you should have 3+ years of experience building machine learning models for business applications or a PhD/Master's degree with 5+ years of applied research experience. You should also have expertise in programming languages such as Java, C++, Python, and related languages. Additionally, you should have experience with professional software development and publication at top-tier peer-reviewed conferences or journals.
Salary:
The estimated salary for this role is $250,000 - $350,000 per annum, depending on location and experience. Amazon is an equal opportunities employer, valuing diversity and protecting employee data security.
