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 professional software development experience preferred

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

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