大模型智能归因算法工程师-AI Platform
Core
Build an AI Agent intelligent attribution system to extract key signals from massive execution trajectory data, quantify agent capability differences, and provide precise improvement directions for product teams and high-quality training feedback for LLM teams.
Role type
Senior IC machine-learning engineer (AI Agent attribution)
Builds
Data-driven automated iteration optimization loops and attribution systems for LLM training and product improvement
Domain
Artificial Intelligence / Large Language Models / Agent Systems
Deliverable
production ML models
Required skills
Machine learning theory, feature engineering, tree models, neural networks, model interpretability, causal inference, SQL, Python, NumPy, Pandas, Scikit-learn, LightGBM
Preferred skills
Large model application experience (Agentic frameworks, prompt tuning, context management, data synthesis, data distillation), AI-assisted programming tools
Technologies
Agentic frameworks, TRAE, Claude Code, LightGBM, Scikit-learn
Responsibilities
Construct AI Agent intelligent attribution systems; Build data-driven automated iteration optimization loops; Explore deep integration of large model agents with traditional feature engineering
