2026 Fall Applied Science Internship - Gen AI & Large Language Models - United States, PhD Student Science Recruiting
Core
PhD student intern developing novel algorithms and modeling techniques for large language models, generative AI, and recommendation systems.
Role type
PhD student applied science intern (Gen AI & LLMs)
Builds
Scalable algorithms and modeling techniques for production-scale data
Domain
Artificial Intelligence / Natural Language Processing / Generative AI
Deliverable
production ML models
Required skills
LLMs, NLP/NLU, Transformers, Fine-Tuning, Recommendation Systems, Deep Learning, Named Entity Recognition, Statistics, Neural Networks, Question Answering
Preferred skills
Publications at top-tier peer-reviewed conferences, building models for business application
Technologies
Java, C++, Python
Responsibilities
Collaborate with cross-functional teams to tackle complex challenges in NLP and generative AI; Fine-tune state-of-the-art models and develop novel algorithms; Explore applications of generative AI across industries; Present groundbreaking work and insights to the team.
Seniority
PhD student, research-focused
