大模型算法实习生（J103703）
Core
Develop and optimize multimodal operators and workflows, fine-tune LLMs/VLMs, and build model services and evaluation systems for intelligent data infrastructure.
Role type
Intern, multimodal machine learning engineer
Builds
Multimodal operators, workflows, fine-tuned LLM/VLM models, and automated evaluation systems
Domain
Artificial Intelligence, Multimodal AI, Large Language Models
Deliverable
production ML models
Required skills
PyTorch, PaddlePaddle, Python, Kubernetes, CV model training, LLM/VLM fine-tuning, open-source model reproduction
Preferred skills
None stated
Technologies
PyTorch, PaddlePaddle, Kubernetes, Python
Responsibilities
Develop high-quality multimodal operators and workflows; Fine-tune large language and multimodal models; Build model services and automated evaluation systems; Optimize operator performance and efficiency for project deployment
Seniority
Intern
