LLM Fine-Tuning Engineer

Job Summary

To support a growing team, the full-time LLM Fine-Tuning Engineer will design, execute, and operationalize fine-tuning workflows for large language models in a remote setting, leveraging modern training stacks and collaborating with cross-functional partners to deliver high-quality solutions.

Key Responsibilities

• Design and execute fine-tuning experiments for large language models using various techniques
• Lead dataset construction and quality assurance processes for instruction tuning
• Build and optimize scalable training pipelines on modern distributed training frameworks

Required Qualifications

• Master's or PhD in Computer Science, Machine Learning, or a related field; or equivalent experience
• Six or more years of combined ML research and engineering experience with significant LLM exposure
• Strong proficiency in Python and modern deep learning frameworks, especially PyTorch
• Hands-on experience fine-tuning transformer-based language models at scale
• Familiarity with distributed training strategies and preference optimization techniques