Research Scientist Intern - Risk Control Vertical LLM Foundation and Agent - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
Develop agent-based autonomous systems to combat adversarial content, AI-generated content (AIGC), and underground activities by optimizing large models and extracting cross-modal long-context information.
Role type
Research Scientist Intern (LLM Foundation and Agent)
Builds
Agent-based risk control systems and optimized large language models
Domain
Risk Control / Cybersecurity / Large Language Models
Deliverable
production ML models
Required skills
Large model optimization, agent system design, cross-modal information extraction, adversarial content detection, long-context comprehension, complex instruction adherence
Preferred skills
C/C++ or Python proficiency, publications in CCF-A category journals/conferences (AAAI, NeurIPS, SIGKDD, SIGIR), strong coding skills, data structures and algorithms knowledge
Technologies
Large models, multimodal models, machine learning
Responsibilities
Optimize large models from end to end for risk control scenarios, build smart agent systems, integrate fragmented risk control knowledge into agent skills, improve recall of long-tail and adversarial samples
Seniority
Intern, PhD candidate