Algorithm - AI Research Engineer Intern
FuriosaAI · Seoul, South Korea
Infrastructureonsiteintern
At a glance
Highlights
- Develop proprietary LLMs specialized for coding and tool-use agentic tasks.
- Build async RL pipelines using Furiosa NPU for LLM post-training.
- Collaborate with global labs to expand frontier AI research network.
Ideal candidate
An AI master's student driven by frontier model research who loves building real LLMs and agents, thrives in global collaboration, and wants research impact beyond papers.
Requirements
- Enrolled in a master's program in AI-related field or equivalent R&D experience
- Experience building AI with PyTorch or other major deep learning frameworks
- Eligible for international travel with no restrictions
Lab profile
About FuriosaAI
Builds high-performance, high-efficiency AI compute for the Inference Era.
What they build
- AI inference accelerators
- High-efficiency AI compute hardware
Known for
- Energy-efficient AI chip architecture
- High-performance AI inference
- AI compiler development
Key facts
- Founded in 2017
- Offices in Korea and Silicon Valley
- Compiler-focused R&D lab in Lisbon
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