Lead / Ai Research Scientist
4 days ago
**About Us**:
**Key Responsibilities**:
- AI Innovation & Integration: Advance LLMs, LMMs, and next-gen AI by integrating long-term memory, retrieval-augmented generation (RAG), and intelligent agents.
**Essential Qualifications**:
1. Technical Expertise
- Strong understanding of Natural Language Processing (NLP), Computer Vision, Deep Learning, and Machine Learning.
- Familiarity with state-of-the-art models, including Autoregressive Language Models, Vision Transformers, and Diffusion Models.
- Proficiency with AI frameworks like PyTorch and experience in RetrievalAugmented Generation (RAG) and intelligent agent systems.
2. Academic & Research
- Proven research experience with publications in top conferences and journals, such as ICLR, ACL, EMNLP, CVPR, NeurIPS, ICML, etc.
- Experience in developing and refining large-scale language models and visionlanguage models is a significant advantage.
3. Programming Skills
- Proficiency in Python, C++, or Java, with hands-on experience in Linux environments.
4. Soft Skills
Strong skills in communication, teamwork, problem-solving, and self-motivation.
**Preferred Qualifications**:
- Demonstrated success in high-impact AI competitions or large-scale research projects.
**Bonus Skills**:
- Experienced in brain science research, particularly at the intersection of neuroscience and AI.
- Hands-on experience with large-scale data processing and deployment of deep learning models in production environments.
- Strong mathematical foundation and fluency in English for technical documentation and communication.
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