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 qualified software development experience preferred

Apply your AI, NLP, LLM, and GenAI expertise to advance fair, precise hiring science at Amazon.

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