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 modern 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 current 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.