AI Researcher/ Engineer

About Us: Join us at Shanda AI Research as we are dedicated to becoming a global leader in AI innovation, driving the transition of AI technology from the "copilot" era to the "autopilot" era. We focuses on cutting-edge research in large models and next generation intelligent agents. Our mission is to push the boundaries of AI technology, develop groundbreaking models, and advance their real-world applications and impact. Key Responsibilities: AI Innovation & Integration: Advance LLMs, LMMs, and next-gen AI by integrating long-term memory, retrieval-augmented generation (RAG), and intelligent agents. Implement and experiment with LLMs, multimodal models, and reasoning frameworks Build research prototypes for RAG, tool-use agents, and agentic learning systems Design and run controlled experiments for model reasoning, robustness, and trustworthiness Develop evaluation benchmarks and testing pipelines for AI systems Analyze model behaviour and propose improvements based on empirical findin Industry Insight: Stay ahead of emerging AI trends, technologies, and applications that shape industries and transform businesses. Apply theoretical breakthroughs to real-world business challenges, driving AI adoption and impact. 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 Retrieval-Augmented 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. Soft Skills Strong skills in communication, teamwork, problem-solving, and self-motivation. Preferred Qualifications: PhD in Computer Science, Artificial Intelligence, or a related field. Demonstrated success in high-impact AI competitions or large-scale research projects. Bonus Skills: Hands-on experience with large-scale data processing and deployment of deep learning models in production environments. Strong mathematical foundation and proficiency in both written and spoken Chinese and English, to support technical documentation and cross-functional communication.