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Vice Principle, Ai
2 weeks ago
**Why Join Us**
We are committed to fostering an innovative and exploratory environment. As the academic lead in long-term memory research, you will have the freedom to pursue novel ideas and methods, supported by a passionate and dedicated team.
As an AI Research Lead, you will lead an AI team to conduct cutting edge research and author high impact papers on the research.
**Research Goal**:
To develop an on-device personalized AI model capable of real-time learning based on user-specific data input. The model should mimic real-world user behavior to produce identical outputs given the same inputs.
**Technical Approach Includes (but is not limited to)**:
- Training an external memory model alongside a "parameter-frozen" LLM.
- Identifying original facts in LLM features for localized parameter updates.
- Exploring new AI model structures beyond transformers to better utilize long-term memory and train personalized models.
**Provided for Research and Practical Needs**:
- Unlimited computing resources as required by the research.
- Comprehensive AI engineering capabilities and infrastructure.
- Interdisciplinary technology integration with brain science and neuroscience.
**Qualifications**:
- Master in Computer Science, Artificial Intelligence, or a related field.
- Proven track record of leading AI research projects at technical institutes. Preferably published research in reputable AI journals or conferences.
- Active participation in AI and data science communities.
