Research Internship (Fall, 2026)
Core
Conduct cutting-edge machine learning research to design, implement, and train large language models, focusing on expanding the frontier of knowledge in language modeling, evaluation, multimodal models, and optimization.
Role type
Research Intern (PhD level)
Builds
State-of-the-art LLMs and research outputs (publications, datasets, code)
Domain
Artificial Intelligence / Large Language Models / NLP
Deliverable
production ML models | research
Required skills
Large-scale distributed training strategies, data annotation and evaluation pipelines, autoregressive sequence models (Transformers), Python, C/C++/Lua, ML frameworks (JAX, PyTorch, TensorFlow), building systems based on ML and deep learning
Preferred skills
Publications in top-tier venues (ML/NLP/AI), quantitative analytical problem solving, handling complex high-dimensional data, applying theoretical and empirical research to real-world problems
Technologies
JAX, PyTorch, TensorFlow, Transformers
Responsibilities
Conduct cutting-edge machine learning research, build and train large language models, focus on research projects expanding knowledge in language modeling and associated areas, disseminate research results through publications, datasets, and code, contribute to research initiatives with practical applications in product development
Seniority
Intern, PhD candidate
