Senior Researcher - Artificial Specialized Intelligence - Microsoft Research

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Research Sciences

Senior Researcher at Microsoft Research focusing on Artificial Specialized Intelligence, developing cutting-edge large foundation models and post-training techniques for specific domains and real-world applications. The role involves conducting research, collaborating with cross-functional teams, developing prototypes, and publishing findings.

What you'd actually do

  1. Conduct cutting-edge research in large foundation models, focusing on applying large foundation models in specific domain.
  2. Collaborate with cross-functional teams to integrate solutions into Artificial Intelligence (AI) -driven system.
  3. Develop and maintain research prototypes and software tools, ensuring that they are well-documented and adhere to best practices in software development.
  4. Publish research findings in top-tier conferences and journals and present your work at industry events.
  5. Collaborate with other AI researchers and engineers, sharing knowledge and expertise to foster a culture of innovation and continuous learning within the team.

Skills

Required

  • Doctorate in computer science or relevant field OR equivalent experience

Nice to have

  • Doctorate in relevant field AND 2+ years related research experience OR equivalent experience
  • Experience publishing academic papers as a lead author or essential contributor
  • Experience participating in a top conference in relevant research domain
  • Background in system and architecture, including experience with computer hardware, software, and networking technologies
  • 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.
  • 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

What the JD emphasized

  • Doctorate in computer science or relevant field
  • Experience publishing academic papers as a lead author or essential contributor
  • Experience participating in a top conference in relevant research domain
  • 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.

Other signals

  • large foundation models
  • post-training techniques
  • novel applications