Apply LLM and GenAI expertise as an Applied Scientist developing fair, accurate hiring models for Amazon’s Intelligent Talent Acquisition organization.
Global Hiring Science builds Artificial Intelligence and Machine Learning products that enhance recruitment. In this role, you will design models, develop NLP solutions, and collaborate with Research Scientists and Software Engineers. Your work supports production machine learning systems for Amazon hiring.
Key Responsibilities
Design advanced AI models using LLM and GenAI technologies
Implement NLP models extracting insights from diverse data sources
Integrate AI-driven products into Amazon’s hiring process
Present ideas clearly and respond effectively to feedback
Contribute through publications,
presentations, and academic collaborations
Requirements
Three or more years building models for business applications
Programming experience in Java, C++, Python, or related languages
Knowledge of algorithms, data structures, or numerical optimization
Experience with Unix/Linux or qualified software development preferred
Master’s degree in computer science or related field preferred
Bring model development, NLP, and GenAI capabilities to Amazon’s hiring science and machine learning products.