Research Science: Internship Opportunities

Microsoft Microsoft · Big Tech · Beijing, Beijing, China +1 · Research Sciences

This is an internship opportunity for a Research Scientist focused on conducting research and leading collaborations to advance the state-of-the-art in computer science and engineering, with a focus on machine intelligence and machine learning applications. The role involves analyzing algorithms, implementing prototypes, and developing solutions for large-scale problems, contributing to academic knowledge and potentially influencing future product development.

What you'd actually do

  1. Analyze and improve performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications.
  2. Implement prototypes of scalable systems in AI applications.
  3. Collaborate closely with team members on developing systems from prototyping to production level.
  4. Develop solutions for real world, large-scale problems.
  5. Under instruction from others, research new tools, technologies, and methods being used in the research community and contribute your knowledge around a specialized tool/method to support planning for research projects.

Skills

Required

  • Currently pursuing a Bachelor/Master/PhD Degree in a relevant field
  • Must have at least one additional quarter/semester of school remaining following the completion of the internship

Nice to have

  • Experience with one or more general purpose programming languages including: C/C++, Java, MATLAB or Python, ideally languages such as pyTorch, Tensorflow and other deep learning toolkits.
  • Experience (classroom or work related) in one or more areas of computer science, such as Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy, etc.
  • Experience (classroom or work related) in one or more areas of computer science, such as Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy or other relevant research focuses.

What the JD emphasized

  • advance the state-of-the-art
  • research agenda
  • academic knowledge
  • machine intelligence
  • machine learning

Other signals

  • research
  • algorithms
  • prototypes
  • machine intelligence
  • machine learning