Senior Researcher

1 Month ago • 1 Years + • Artificial Intelligence

Job Summary

Job Description

As a Senior Researcher at Microsoft Research Asia (MSRA) in Singapore, you will conduct cutting-edge research in large foundation models and generative AI, applying these to real-world industrial scenarios. You'll collaborate with cross-functional teams to develop AI solutions for various sectors. Responsibilities include developing and maintaining research prototypes and software tools, publishing research findings in top-tier venues, and presenting at industry events. The role requires collaboration with other researchers and engineers, fostering innovation and continuous learning. The ideal candidate possesses a doctorate in a relevant field, 1+ years of research experience, and a strong publication record. Deep knowledge of large foundation models and their applications is essential.
Must have:
  • Doctorate in relevant field
  • 1+ year research experience
  • AI solutions for real-world applications
  • Publications as lead author/contributor
  • Deep knowledge of large foundation models
Good to have:
  • Experience in Generative AI
  • Multimodal learning expertise
  • Resource-efficient learning knowledge
  • Industrial AI application experience

Job Details

Overview

As one of the world's leading industrial research laboratories, Microsoft Research (MSR) has more than 1,000 researchers and engineers working across the globe. In past 30 years, Microsoft scientists have not only carried out world-class computer science research, but also transferred the advanced technologies into our products and services that have changed millions of people’s lives and ensured that Microsoft is at the forefront of digital transformation.

Part of Microsoft Research, Microsoft Research Asia (MSR Asia), established in 1998, is a leading research lab with major sites in Beijing, Shanghai, Vancouver and Tokyo. Over the years, technologies developed by MSR Asia have made a significant impact within Microsoft and around the world, and new, innovative technologies are constantly being born from the lab. As one of the world-class research labs, MSRA offers an exhilarating, supportive, open and inclusive environment for top talents to create the future through their disruptive and cutting-edge research. (More information about ).

Along with business growth, Microsoft Research Asia (MSRA) is now poised to extend roles into Singapore and looking for a Researcher in Foundation Model innovations (LLM, Vision, Multi-modality, etc.), Deep Learning and Reinforcement Learning Foundation, AI for Healthcare, Embodied AI and Robotics, Societal AI, Industrial AI application, etc.

Qualifications

  • Doctorate in relevant field AND 1+ year(s) related research experience OR equivalent experience.
  • Experience developing AI solutions for real-world industry applications.
  • Experience publishing academic papers as a lead author or essential contributor.
  • Deep knowledge about latest large foundation models and their applications
  • Strong communication skills to engage with various collaborators both externally and internally
  • Keen interest in general AI research, including but not limited to large foundation models, generative AI, multimodal learning, resource-efficient learning and Industry AI.

 

 

Responsibilities

  • Conduct cutting-edge research in large foundation models and generative AI, focusing on applying large foundation models and generative AI in real-world industrial scenarios.
  • Collaborate with cross-functional teams to develop AI solutions to address real-world problems in various industry sectors.
  • 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.

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