LLM Fine-Tuning Engineer

Job Summary

To support a growing team, the full-time LLM Fine-Tuning Engineer will design and execute fine-tuning workflows for large language models, focusing on supervised and reinforcement learning approaches in a remote environment.

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 and preference data
• Build scalable training pipelines and manage large-scale training jobs 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 scale
• Experience with distributed training strategies and evaluation methodologies