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, precise hiring science at Amazon.
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Applied Scientist AI Hiring Models in Vancouver employer: Amazon.co
Amazon.co offers a dynamic work environment where employees tackle complex operational challenges that impact millions of customers globally. The company emphasizes professional growth through programs like the MBA Pathways Program, which prepares recent graduates for leadership roles by providing hands-on experience and exposure to senior executives. Employees benefit from a culture of innovation and collaboration, working alongside diverse teams to enhance operations and customer experiences.
