Roles & Responsibilities
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.Tell employers what skills you have
Machine Learning
Technical Documentation
Ingredients
HPLC
Natural Language Processing
Computer Vision
Soft Skills
PyTorch
Neuroscience
Python
Data Analysis and Interpretation
Publications
Java
Linux
C++