Amazon.com Services LLC
Machine Learning Science, Applied Science, studentprograms
2026AppliedScienceInternship-NaturalLanguageProcessingandSpeechTechnologies-UnitedStates,PhDStudentScience
Neural analysis suggests this role is
optimal for Mid+ candidates.
“2026 Applied Science Internship - Natural Language Processing and Speech Technologies - United States, PhD Student Science at Amazon.com Services LLC. Skills: Natural Language Processing, Speech Technologies, Large Language Models, Conversational AI. Develop novel algorithms. Develop scalable algorithms”
Industry & Context.
Tackle complex research problems
What They're Looking For.
Must Have
Enrolled in a PhD, 18 years of age or older, Work 40 hours/week minimum, Commit to 12 week internship maximum, Can relocate to where the internship is based, Experience programming in Java, C++, Python or related language, Experience with Natural Language Processing/Understanding, Experience with Large Language Models, Experience with Reinforcement Learning, Experience with Human Feedback/HITL, Experience with Deep Learning, Experience with Speech Recognition, Experience with Conversational AI, Experience with Natural Language Modeling, Experience with Multimodal Learning
Nice to Have
Publications at top-tier conferences or journals, Experience in designing experiments, Statistical analysis of results, Experience in building speech recognition systems, Experience in building machine translation systems, Experience in building natural language processing systems
What You'll Do.
Develop novel algorithms
Develop scalable algorithms
Develop modeling techniques
Advance state-of-the-art in NLP
Advance state-of-the-art in speech recognition
Advance state-of-the-art in text-to-speech
Advance state-of-the-art in question answering
Advance state-of-the-art in conversational modeling
Tackle groundbreaking research problems
Leverage transformer-based models
Leverage signal processing
Leverage information extraction
Leverage audio processing
Leverage speaker detection
Leverage large language models
Leverage multilingual modeling
Collaborate with cross-functional teams
Solve complex business problems
Demonstrate attention to detail
How You'll Work.
Team & Collaboration
Cross-functional teams; Diverse groups
Full Job Description
Shape the Future of Human-Machine Interaction Are you a master of natural language processing, eager to push the boundaries of conversational AI? Amazon is seeking exceptional graduate students to join our cutting-edge research team, where they will have the opportunity to explore and push the boundaries of natural language processing (NLP), natural language understanding (NLU), and speech recognition technologies. Imagine waking up each morning, fueled by the excitement of tackling complex research problems that have the potential to reshape the world. You'll dive into production-scale data, exploring innovative approaches to natural language understanding, large language models, reinforcement learning with human feedback, conversational AI, and multimodal learning. Your days will be filled with brainstorming sessions, coding sprints, and lively discussions with brilliant minds from diverse backgrounds. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.. Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Natural Language Processing & Speech Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA. Key job responsibilities We are particularly interested in candidates with expertise in: NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversati
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