算法专家-产品研发和工程架构
Core
End-to-end LLM algorithm research and engineering, covering data, training, evaluation, inference deployment, and application of frontier technologies like RAG, Agents, and SFT.
Role type
Senior IC machine-learning engineer (LLM)
Builds
Production LLM models and AI-enhanced product features
Domain
Artificial Intelligence / Large Language Models
Deliverable
production ML models
Required skills
LLM training (RAG, SFT, RLHF, Prompt), model deployment and distillation, BERT/Transformer/ViT/CLIP architectures, TensorFlow/PyTorch/Keras frameworks, business problem modeling
Preferred skills
High-impact ML blog/GitHub projects, top-tier competition experience (ACM-ICPC/NOI/IOI), publications at KDD/NeurIPS/ACL/EMNLP/IJCAI/AAAI/SIGIR
Responsibilities
Ensure high-quality and effective data for model training; Research and implement LLM applications; Explore AI capabilities to enhance business iteration; Collaborate with product and engineering teams to improve project ROI
