AI Research Engineer - Post-training Internship
Benefits:
Support for cafe beverages, study room, or shared office expenses
Support for software, books, and educational materials
Experience Requirements:
Experience achieving top performance on specific problems through LLM/VLM post-training/fine-tuning
Publication record in ML/NLP at international conferences (1st author or corresponding author)
Other Requirements:
Understanding of Foundation Model development trends
Preferred: Experience leading AI research or product development
Preferred: Experience designing Agent Harness for data synthesis
Preferred: Experience collecting, generating, and cleaning data for LLM/VLM
Preferred: Top placement in domestic or international AI competitions (e.g., Kaggle)
Responsibilities:
Contribute to post-training research across General, Science, Coding, Office Work, and Computer Use agents
Work on reinforcement learning for LLM (math, code, general reasoning, tool use)
Assist in developing scalable agentic tool use data synthesis pipelines and reward models
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