用户创作大模型算法工程师-智能创作（北京/上海）
Core
Design and optimize algorithms for personalized computation, recommendation, and search systems by integrating user behavior and preference signals into large language models (LLMs) and multimodal models.
Role type
Senior IC machine-learning engineer (personalized generation & recommendation)
Builds
Personalized LLMs and multimodal generation models for user-facing recommendation and search products
Domain
Internet / AI / Recommendation Systems / Large Language Models
Deliverable
production ML models
Required skills
Large language models (LLM), multimodal models, reinforcement learning, contrastive learning, reward modeling, supervised fine-tuning (SFT), RLHF, ranking algorithms, user behavior modeling
Preferred skills
Experience in search or recommendation systems, personalized generation, post-training pipelines (SFT, Reward Model, RLHF/RLAIF)
Technologies
LLM frameworks, RL libraries, multimodal model architectures
Responsibilities
Design and optimize algorithms for personalized recommendation and search systems; Build reward signals from user online feedback to drive model optimization; Implement optimization strategies based on reinforcement learning or contrastive learning; Collaborate with product and engineering teams to deploy models in real-world scenarios
Seniority
Senior, hands-on IC