Research Scientist (Generative & Agentic AI)
On-siteTaipei, Taiwan, Taiwan
Taipei, Taiwan, TaiwanOn-siteFull TimeDoctorate Or Professional DegreeAI SoftwareMedium
Full TimeDoctorate Or Professional DegreeMediumAI Software
Job Summary
Research and build agentic AI systems featuring reasoning, planning, tool use, and multi-agent collaboration powered by LLMs and VLMs. Advance post-training techniques including SFT, RLHF, and preference optimization to improve model alignment and reliability. Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute while designing rigorous evaluations for real-world scenarios. Collaborate with cross-functional teams to ship research into production applications and track frontier research to publish key findings at leading AI/ML venues.
Required Qualifications
- Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field
- research experience in AI/ML
- Deep understanding of modern foundation models
- expertise in at least one of: LLMs, VLMs/multimodal models, RL, or agentic systems
- Hands-on experience building with LLMs: fine-tuning, RAG, agent frameworks (e.g., tool use, function calling), or product prototyping
- Fluency with AI-assisted coding workflows
- Proficient in Python and PyTorch
- ability to build, train, and optimize models effectively
- Strong ability to analyze model behavior, diagnose bottlenecks, and improve training and inference pipelines
- Clear communication skills
- a team-first attitude in a fast-paced, collaborative environment
Desired Qualifications
- Publications in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP)
- Experience with large-scale distributed training or LLM post-training pipelines
- Contributions to open-source projects (e.g., agent frameworks, model or benchmark releases)
- Passion for pushing the frontier of generative and agentic AI and bridging research with impactful real-world applications
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