AI Researcher

1 week ago

Singapore SHANDA GROUP PTE. LTD. Full time
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++

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