算法实习生（J107057）
Core
Analyze content safety and anti-fraud data for search, AIGC, and UGC businesses to identify risk samples and features; design, experiment, and launch safety detection algorithm strategies; explore and evaluate large model AI applications in safety scenarios.
Role type
Intern, algorithm engineer (content safety & anti-fraud)
Builds
Safety detection algorithms and strategies for content platforms
Domain
Internet security, content safety, AIGC
Deliverable
production ML models
Required skills
Python, SQL, machine learning algorithms, deep learning principles, large model basics
Preferred skills
Experience with internet black/gray market risks, relevant projects/competitions/papers
Technologies
Python, SQL, large models
Responsibilities
Analyze risk data and extract features; design and test algorithm strategies; research academic and industry practices; evaluate AI model performance in safety tasks
