LLM Algorithm Engineer (Intern)
AI for Science Institute (AISI), Beijing
Frontier Intelligence Department
Key Responsibilities:
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Model Fine-tuning: Fine-tune LLM/VLM/VLA foundation models to explore planning and decision-making capabilities for instrument tasks, forming verifiable technical roadmaps
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Data & Evaluation System: Build training datasets, offline evaluation, and regression mechanisms to drive quantifiable iteration
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Fine-tuning & Alignment: Hands-on experience with SFT and parameter-efficient fine-tuning to improve task success rate and stability
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RL Practice: Design reward and feedback loops to advance policy optimization effectiveness in real-world tasks
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Engineering Collaboration: Work with engineering teams to ensure models are deployable, monitorable, and iteratively improvable in production systems