2027 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 NLP, 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
Python, C++ or Java, Natural Language Processing/Understanding, Large Language Models, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning
Preferred skills
Publications at top-tier conferences, experimental design and statistical analysis, building speech recognition/translation/NLP systems, implementing algorithms with PyTorch/HuggingFace, AI-assisted development tools
Technologies
PyTorch, HuggingFace, LSTM, transformer-based models
Responsibilities
Develop novel scalable algorithms for NLP and speech technologies; Tackle groundbreaking research problems on production-scale data; Collaborate with cross-functional teams to solve complex business problems; Thrive in a fast-paced, ever-changing environment
Seniority
PhD Student, Research