AI Research Lead

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):

1. Training an external memory model alongside a parameter-frozen LLM.
2. Identifying original facts in LLM features for localized parameter updates.
3. Exploring new AI model structures beyond transformers to better utilize long-term memory and train personalized models.

Support Provided for Research and Practical Needs:

1. Real-world user data and requirements in AI2B, AI2C, AI4Health scenarios, with broad application prospects.
2. Unlimited computing resources as required by the research.
3. Comprehensive AI engineering capabilities and infrastructure.
4. Interdisciplinary technology integration with brain science and neuroscience.

Qualifications:

• Ph.D. 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.
• Bilingual, fluent in Chinese and English is a plus (as candidates need to liaise with Chinese/Mandarin speaking counterparts in China for job/research purposes).

If you are enthusiastic about leading cutting-edge research in long-term memory and driving AI applications in the industry, we look forward to having you join us.