LLM Engineer (LLM Training)
Core
Design LLM training pipelines to train generative language models for real-world service deployment and continuous quality improvement.
Role type
Senior IC LLM Training Engineer
Builds
Production-ready generative language models and training infrastructure
Domain
Artificial Intelligence / Large Language Models / Deep Learning
Deliverable
production ML models
Required skills
Deep Learning, NLP, Python, PyTorch, distributed training frameworks (Slurm, DDP, Horovod), GPU cluster management, model optimization, Self-Refine architecture design
Preferred skills
Academic publications (ACL, EMNLP, NeurIPS), Supervised Fine-Tuning, Parameter Efficient Fine-Tuning, Docker, Kubernetes, GPU-based inference system development
Technologies
PyTorch, Slurm, DDP, Horovod, Docker, Kubernetes
Responsibilities
Improve efficiency of the LLM training process, enhance overall accuracy and stability of generation results, design learning structures enabling self-refinement for quality improvement
Seniority
Senior, hands-on IC
