Applied Scientist for Generative AI and Machine Learning
hace 3 días
About the Role
As a Senior Applied Scientist on our Community Data & Science team, you will work at the forefront of developing Large Language Model (LLM) solutions that revolutionize customer experience. Our mission is to empower customers with trusted insights from community feedback, shaping their shopping decisions. To achieve this, we're looking for a passionate and inventive Senior Applied Scientist with expertise in AI, Gen AI, Machine Learning, and NLP.
Key Responsibilities
- Develop and implement state-of-the-art technologies that drive published papers and real-world impact
- Collaborate with talented scientists and engineers to innovate on behalf of our customers
- Mentor junior scientists on the team
- Work on various projects, including generative AI, LLM fine-tuning, alignment, prompt engineering, and benchmarking solutions
About the Team
The Community Data & Science team focuses on analyzing, structuring, and presenting customer-generated content to inform purchase decisions. We build and own ML models that shape community content quality, extract insights, and present them to shoppers. Today, our ML models support experiences like content solicitation, submission, moderation, ranking, and summarization.
What You'll Need
- 3+ years of building machine learning models for business applications
- PhD or Master's degree with 5+ years of applied research experience
- Experience programming in Java, C++, Python, or related languages
- Familiarity with neural deep learning methods and machine learning
Your Benefits
- Competitive salary: $250,000 - $350,000 per year
- Opportunity to work on cutting-edge technologies and publish papers
- Collaborative and dynamic work environment
- Professional growth and development opportunities
Why Amazon?
At Amazon, we're committed to providing a rewarding and engaging experience for contributors and shoppers alike. We strive to make a lasting impact on the future of AI-powered shopping by fostering innovation and excellence in our team.
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