Design fair hiring models at Amazon using LLMs, GenAI, and machine learning in a production-focused workplace. 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 technologiesImplement fair,
accurate machine learning models for hiringPresent work clearly and respond effectively to feedbackCollaborate across research and software engineering teamsContribute through publications, presentations, and academic collaborationsRequirements:
Three or more years building models for business applicationsProgramming experience in Java, C++, Python, or related languagesKnowledge of algorithms and data structuresExperience with parsing, optimization, data mining, or computingUnix/Linux or professional software development experience preferredApply your AI, NLP, LLM, and GenAI expertise to advance fair, precise hiring science at Amazon.