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 nextgeneration 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.

. Research & Publication: Publish in top-tier journals and conferences, secure patents, and contribute to the open-source AI community with datasets, models, and code releases.

. 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. 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:

. 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.