LLM Fine-Tuning Engineer

Job Summary

LLM Fine-Tuning Engineer, a full-time remote position requiring over six years of experience, focuses on designing and executing fine-tuning workflows for large language models while collaborating with cross-functional teams.

Key Responsibilities

• Design and execute fine-tuning experiments for large language models using various techniques
• Lead dataset construction, curation, and quality assurance processes
• Build scalable training pipelines and optimize training throughput on GPU clusters

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 non-trivial scale
• Familiarity with distributed training strategies and experience operating training jobs on GPU clusters