We're looking for an LLM Fine-Tuning Engineer to design, execute, and operationalize fine-tuning workflows for large language models. The role requires deep practical experience with modern training stacks, careful dataset construction, rigorous evaluation methodology, and the engineering discipline to operate complex training pipelines reliably.
Requirements
Master’s or PhD in Computer Science, Machine Learning, or a related field
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
Strong understanding of evaluation methodology, benchmarks, and human evaluation design
Experience operating training jobs on GPU clusters and recovering from failures Benefits
Competitive base salary commensurate with experience, plus benefits
