LLM Research Intern

📋 Description

• Assess domain-specific datasets and determine adaptation approaches (fine-tuning, continued
• Establish baselines and measure improvements from model adaptations.
• Curate and clean data for training and evaluation.
• Fine-tune open-weight LLMs using LoRA/QLoRA/PEFT and related methods.
• Support single-GPU and multi-GPU training environments.
• Evaluate models, report results, and communicate findings with reproducible experiments.

🎯 Requirements

• Currently enrolled in or recently completed a Bachelor's, Master's, or PhD program in CS/ML/AI or
• Strong Python programming skills.
• Experience with ML/DL research, coursework, projects, or open-source contributions.
• Solid understanding of transformer architectures, LLMs, and modern NLP concepts.
• Experience with PyTorch and Hugging Face Transformers.
• Ability to read research and translate ideas into practical experiments.

🎁 Benefits

• Competitive salaries and benefits for personal and professional development.
• Growth-driven environment with supportive team and opportunities to contribute to real-world AI