2026 Fall Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student Science Recruiting

Summary: Amazon is at the forefront of applied science, seeking brilliant minds to push the boundaries of artificial intelligence. As an Applied Science Intern, you will work with experts to develop scalable algorithms and tackle complex challenges in natural language processing and generative AI. Responsibilities: - Collaborate with cross-functional teams to tackle complex challenges in natural language processing, computer vision, and generative AI - Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of what's possible - Explore the vast potential of generative AI and its applications across industries - Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries - Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation - Present your groundbreaking work and insights to the team, fostering a culture of knowledge-sharing and continuous learning Required Qualifications: - Are enrolled in a PhD - Can relocate to where the internship is based - Experience programming in Java, C++, Python or related language - Must be available for full-time (40 hours per week) internship for the whole duration of the internship Preferred Qualifications: - Have publications at top-tier peer-reviewed conferences or journals - Experience in building models for business application Required Skills: Large Language Models, Natural Language Processing, Natural Language Understanding, Generative AI, Transformers, Model Fine-Tuning, Recommendation Systems, Deep Learning, Named Entity Recognition, Statistics, Neural Networks, Question Answering, Java, C++, Python Benefits: EAP, Mental Health Support, Medical Advice Line, 401(k) matching