2026 Fall Applied Science Internship - Natural Language Processing and Speech Technologies - United States, PhD Student Science Recruiting
Core
PhD student research role developing novel algorithms and modeling techniques for natural language processing, speech recognition, and conversational AI on production-scale data.
Role type
PhD student applied science researcher (NLP & Speech)
Builds
Scalable algorithms and modeling techniques for NLP, speech recognition, TTS, and conversational AI
Domain
Artificial Intelligence, Natural Language Processing, Speech Technologies
Deliverable
production ML models
Required skills
NLP/NLU, Large Language Models, Reinforcement Learning, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning, Java, C++, Python
Preferred skills
Publications at top-tier conferences, experimental design, statistical analysis, building commercial speech products
Technologies
LSTM, transformer-based models, signal processing, information extraction, audio processing, speaker detection, multilingual modeling
Responsibilities
Develop novel, scalable algorithms and modeling techniques; Tackle groundbreaking research problems on production-scale data; Collaborate with cross-functional teams to solve complex business problems
Seniority
PhD Student, Research
