Applied Sciences INTERN
Core
Formulate and investigate applied research questions in large language models, agentic AI, and machine learning for real-world spreadsheet scenarios.
Role type
Applied Sciences Intern (LLMs & Agentic AI)
Builds
Experiments, prototypes, and model or agent improvements including prompt optimization, fine-tuning, post-training, retrieval, and tool-use approaches.
Domain
Artificial Intelligence / Large Language Models / Agentic AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, dataset curation, benchmark design, statistical analysis, prompt optimization, fine-tuning, post-training, retrieval, tool-use
Preferred skills
Publications in LLMs domain, experience with coding agents (Claude code, GitHub Copilot), software engineering background
Technologies
PyTorch, TensorFlow, Claude code, GitHub Copilot
Responsibilities
Design and implement experiments and prototypes; Build and curate representative datasets, benchmarks, and evaluation methods; Analyze model and agent behavior using quantitative metrics and qualitative error analysis; Communicate methods, results, limitations, and recommendations through technical documents and presentations.
Seniority
Intern