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Microsoft Senior Applied Scientist 
Taiwan, Taoyuan City 
783814396

09.10.2025


As an

Required Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
    • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 3+ years experience conducting research as part of a research program in academic or industry settings.

Other Requirements

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • 2+ years' experience training and/or finetuning large language models, model compression, distillation to small language models.
  • 3+ years' experience with Python and deep learning libraries
  • Experience in large language/multimodal model training, finetuning and distillation.
  • Demonstrated record of publications in top-tier conferences or journals (ICLR, ACL, EMLP, ICML, CVPR, ICCV, ECCV, NeurIPS, TPAMI, etc.).
  • Experience in creating reusable software libraries and packages.
  • Experience using dataset curation, data generation using prompting state of art LLMs and/or model alignment.
  • Experience with reinforcement learning libraries or formal methods and verification is a plus.
  • Demonstrated ability and passion for incubating new ideas, solving problems, and building working systems.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 21,2025.


Responsibilities
  • Research focusing on foundation models - Designing and training language and multimodal models (and finetunes) with supervised finetuning, distillation, reinforcement learning, low-rank adaptation.
  • Research focusing on environment interaction, policy specification and verification and human intent alignment.
  • Implementation: Train, distill, and finetune language and vision models in PyTorch, DeepSpeed, AzureML stack.
  • Machine learning engineering - Build pipelines to test designs, algorithms and models.
  • Data science - Research and develop synthetic data generation strategies.
  • Proactively follow state of the art research and share latest work, write papers, attend conferences and share knowledge in the wider team.