LLM Fine-Tuning Engineer

Job Summary

LLM Fine-Tuning Engineer, a full-time remote position requiring over six years of experience, is responsible for designing and executing fine-tuning workflows for large language models, leading dataset construction, and building scalable training pipelines.

Key Responsibilities

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

Required Qualifications

• Master's or PhD in Computer Science, Machine Learning, or 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 evaluation methodologies