Microsoft Research Asia is seeking to transform the future of artificial intelligence by bridging the gap between cutting-edge general AI and specialized, real-world applications.
Requirements
- Deep knowledge about the latest large model training/inference technology such as instruction finetuning, Reinforcement Learning (RL) and Reinforcement Learning with Hindsight Experience Replay (RLHF), processed and self-reward modeling, low-precision training/inference, etc.
- Background in system and architecture, including experience with computer hardware, software, and networking technologies.
- Experience publishing academic papers as a lead author or essential contributor.
- Experience participating in a top conference in relevant research domain.
- A track record of published research in the field of AI or other system innovation is a plus.
- Keen interest in general AI research, including but not limited to large foundation models and artificial specialized intelligence.
Responsibilities
- Conduct cutting-edge research in large foundation models, focusing on applying large foundation models in specific domain.
- Collaborate with cross-functional teams to integrate solutions into Artificial Intelligence (AI) -driven system.
- Develop and maintain research prototypes and software tools, ensuring that they are well-documented and adhere to best practices in software development.
- Publish research findings in top-tier conferences and journals and present your work at industry events.
- Collaborate with other AI researchers and engineers, sharing knowledge and expertise to foster a culture of innovation and continuous learning within the team.
Other
- Doctorate in computer science or relevant field
- OR equivalent experience.
- Doctorate in relevant field AND 2+ years related research experience
- OR equivalent experience.
- Travel requirements not specified
