Advance hiring science at Amazon through NLP, GenAI, and LLM research. Build production machine learning solutions that extract insights from diverse data. Global Hiring Science develops artificial intelligence and machine learning products that enhance recruitment at Amazon. As an Applied Scientist, you will explore current techniques in natural language processing, large language models, and generative AI. You will also work with scientists and engineers to apply and develop machine learning engineering skills in production.

Key Responsibilities
- Explore and implement new AI research techniques
- Develop NLP models that extract insights from diverse data
- Build machine learning solutions for hiring applications




- Integrate AI-driven products with cross-functional teams
- Communicate ideas and address feedback effectively

Requirements:
- Three or more years building models for business applications
- Programming experience in Java, C++, Python, or related languages
- Experience with numerical optimization or data mining
- Experience with parallel, distributed, or high-performance computing
- Master’s degree in a related field preferred Use NLP, LLMs, GenAI, and machine learning engineering to develop accurate recruitment products at Amazon.

📌 Machine Learning Scientist NLP GenAI (Vancouver)
🏢 Amazon.com
📍 Vancouver