Key Responsibilities:
- Contribute to frontier research in LLMs, LMMs, agentic search, reasoning, memory AI architectures
- Design, implement models and translate advanced theories into working prototypes and production-grade AI systemsnd long-term me
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.
Collaboration & Mentorship:
- Collaborate with AI researchers across our global AI centers
- Guide junior researchers and interns on research matters
- Present findings at global conferences, consortia, and internal forums
Industry Insight:
- Bridge theory and application by working closely with teams
- Contribute to R&D roadmaps and technical hiring standards
- Stay ahead of emerging AI trends, technologies, and applications that shape industries and transform businesses.
Essential Qualifications:
- PhD in Computer Science, Artificial Intelligence, or a related field.
- Demonstrated success in high-impact AI competitions or large-scale research projects.
- 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.
Technical Skills:
- Proficiency in Python, C++, or Java, with hands-on experience in Linux environments
- Experience with distributed model training, evaluation pipelines, and agentic search
Soft Skills :
- Strong skills in communication, teamwork, problem-solving, and self-motivation
Bonus Skills:
- Hands-on experience with large-scale data processing and deployment of deep learning models in production environments
- Proficiency in both written and spoken Chinese and English, to support technical documentation and cross-functional communication.
