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.