Expoint – all jobs in one place
מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Limitless High-tech career opportunities - Expoint

Microsoft Data Science Internship Opportunities 
Taiwan, Taoyuan City 
981524122

Today

Required Qualifications

  • Currently pursuing aPhD/ Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or related field.
  • Must have at least three additional semesters of school remaining (graduation date 2027 or later)
  • Solid background in machine learning, deep learning, language models and optimization.

Preferred Qualifications

  • Currently pursuing a PhD inComputer Science, Engineering, Data Science, Mathematics, or related field.
  • Proficiency in Python and experience with PyTorch, TensorFlow and ONNX.
  • Research or hands-on experience in efficient model architecture and model compression techniques (quantization, pruning, distillation, etc.).
  • Research or hands-on experience with language models (e.g., BERT, LLaMA, GPT).
  • Publications in top-tier relevant ML venues (e.g., NeurIPS, ICML, ACL, or ICLR).
  • Previous industry experience as a Data Scientist / Intern.
  • Solid background in machine learning, deep learning, language models and optimization.
  • Strong analytical thinking and independent research capabilities.
  • Excellent communication, collaboration, and writing skills.
Responsibilities
  • Design, implement, and evaluate methods to enable efficient, secure and optimized deployment of AI models on edge or resource-constrained platforms.
  • Drive innovation and practical research, iteratively improving solutions based on empirical results, working with large-scale textual datasets.
  • Document research findings and contribute to publications, open-source projects, or patent filings as appropriate.
  • Formulate approaches to solve problems using well defined algorithms and data sources
  • Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
  • Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.