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Microsoft Cambridge Research Intern – AI Code Generation New Compute Experiences 
United Kingdom, England, Cambridge 
553127787

Yesterday

Our focus is on the development and application of code-generation language models to empower end-users with richer computing capabilities and act on the user’s behalf

We are Interested in a Broad Range of Areas

  • Enhancing code-generating language models through finetuning, in-context learning, and post-training techniques
  • Generating synthetic training and evaluation data for new use-cases
  • Applications of generative AI to data analysis, dynamic interface generation, and productivity tools such Microsoft Excel and Word.
  • Using insights from type systems, static analysis, program synthesis and machine learning to debug and repair generated computations by LLMs

(MSR Redmond), Excel, and PROSE.

Required/Minimum Qualifications:

  • Must be enrolled in a PhD program in Machine Learning, Computer Science (or related discipline).
  • Experience in LLM research in one or more of the following areas: code generation, semantic parsing, fine-tuning, reinforcement learning, synthetic data generation, neuro-symbolic programming,benchmarkingand evaluation.
  • Experience implementing new prototypes or conducting experiments using software development practices such as version control and code review.
  • Interns are expected to be physicallylocatedin Cambridge UK.


Preferred/Additional Qualifications:

  • Strong communicationskills, especially scientificwritingand communication.
  • Publications in relevant NLP, ML, PL conferences or journals is preferred (e.g.NeurIPS, ICML, ICLR, ACL, EMNLP, POPL, PLDI, OOPSLA).
  • Ability to work in an interdisciplinary collaborative environment with people from different technical backgrounds.
Responsibilities
  • Invent technical solutions to enable new and better user experiences.
  • Develop and evaluate prototypes in collaboration with our research and engineering teams.
  • Write and present your findings in technical documents or research papers.