Advance hiring science at Amazon through machine learning, artificial intelligence, and natural language processing research in Vancouver, British Columbia.
As an Applied Scientist with Global Hiring Science, you will develop production machine learning solutions that enhance recruitment. You will work with Research Scientists and Software Engineers on fair, accurate hiring models. The work includes contemporary LLM and GenAI technologies, Amazon’s in-house technology stack, and scientific communication.
Key Responsibilities: Design advanced artificial intelligence models for fair hiring decisions
Implement natural language processing models across diverse data sources
Collaborate with Research Scientists and Software Engineers




Present ideas clearly and respond effectively to feedback
Explore new techniques in NLP, LLMs, and GenAI
Requirements: Three or more years building models for business applications
Programming experience in Java, C++, Python, or related languages
Experience with algorithms and data structures
Experience with data mining or numerical optimization
Master’s degree in a related field preferred
Apply machine learning, artificial intelligence, and natural language processing to Amazon’s global hiring science products.

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📌 Applied Scientist Machine Learning Hiring (British Columbia)
🏢 Amazon Science
📍 British Columbia