质量大模型算法专家-AI应用与创新
Core
Designing, developing, and deploying LLM algorithms across the software engineering lifecycle (requirements, testing, online operations) to enhance efficiency and quality in entertainment R&D scenarios.
Role type
Senior IC machine-learning engineer (LLM applications)
Builds
Intelligent unit tests, test case generation, UI generation, code graphs, and requirement risk grading systems.
Domain
Entertainment industry + Large Language Models (LLM)
Deliverable
production ML models
Required skills
LLM development and deployment, multi-modal LLM training, RAG, SFT, RLHF, Prompt engineering, Agent development, model distillation, BERT/Transformer/ViT/CLIP architectures, TensorFlow/Pytorch/Keras frameworks, business problem modeling
Preferred skills
Large-scale data processing, CPU/GPU programming and inference acceleration, publications in top-tier conferences (ACL/EMNLP/IJCAI/AAAI/SIGIR)
Responsibilities
Apply LLMs to software engineering tasks like intelligent unit testing and code graph generation; track and integrate latest LLM research (Prompt/RAG/Agents); collaborate with product and business teams to improve project efficiency.
Seniority
Senior, hands-on IC
