Senior Applied Scientist, Community Data and Science
hace 1 mes
Job Summary:
The Community Data & Science team at Amazon is seeking a talented Senior Applied Scientist to help build Large Language Model (LLM) solutions for Community Feedback. As a key member of the team, you will work on state-of-the-art technologies, publish papers, and mentor junior scientists.
About the Role:
You will be responsible for designing and implementing machine learning models that help shape the community content corpus, extract insights from the content, and present the content and insights to shoppers. Our team works on a variety of projects, including generative AI, LLM fine-tuning, alignment, prompt engineering, and benchmarking solutions.
Key Responsibilities:
- Design and implement machine learning models for business applications
- Work on state-of-the-art technologies, including generative AI and LLM fine-tuning
- Mentor junior scientists on the team
- Collaborate with talented scientists and engineers to innovate on behalf of our customers
Requirements:
- 3+ years of building machine learning models for business applications
- PhD, or Master's degree and 5+ years of applied research experience
- Experience programming in Java, C++, Python, or related language
- Experience with neural deep learning methods and machine learning
Preferred Qualifications:
- PhD and 7+ years of post-PhD academic or industry applied research experience
- Experience with professional software development
- Publications at top-tier peer-reviewed conferences or journals
About Amazon:
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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