LLM Research Intern (December 2026 to April 2027)
Core
Research and engineering role adapting, evaluating, and optimizing open-weight LLMs for specialized enterprise use cases.
Role type
LLM Research Intern
Builds
Production-ready AI solutions and internal platforms for enterprise clients
Domain
Generative AI, Large Language Models, Enterprise AI
Deliverable
production ML models
Required skills
Python, Transformer architectures, Model fine-tuning (LoRA, QLoRA, PEFT), Distributed training, Model evaluation, Data curation, Inference optimization
Preferred skills
Experimental design, Benchmarking, Technical research translation
Technologies
PyTorch, Hugging Face Transformers, Multi-GPU environments
Responsibilities
Assess domain-specific datasets and determine adaptation approaches; Curate, clean, and quality-filter datasets; Fine-tune open-weight LLMs; Support training across single and distributed multi-GPU environments; Design rigorous evaluation frameworks; Compare models and adaptation techniques through controlled experiments; Research emerging models and techniques
Seniority
Intern
