Design fair hiring models at Amazon using LLMs, GenAI, and machine learning in a production-focused environment. Apply research to meaningful recruitment challenges.
As an Applied Scientist within Global Hiring Science, you will develop artificial intelligence and machine learning products enhancing recruitment. You will collaborate with Research Scientists and Software Engineers to integrate AI-driven products into Amazon’s hiring process. The work includes advanced natural language processing and evolving machine learning engineering skills.
Key Responsibilities: Design advanced AI models using LLM and GenAI technologies
Implement fair, accurate machine learning models for hiring
Present work clearly and respond effectively to feedback




Collaborate across research and software engineering teams
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 and data structures
Experience with parsing, optimization, data mining, or computing
Unix/Linux or skilled software development experience preferred
Apply your AI, NLP, LLM, and GenAI expertise to advance fair, precise hiring science at Amazon.

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📌 Applied Scientist AI Hiring Models (British Columbia)
🏢 Amazon.co
📍 British Columbia