Microsoft Principal Applied Scientist 

Taiwan, Taoyuan City 

837366009

Required/Minimum Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.

• 5+ years of experience in deep learning and its different toolkits particularly Pytorch or Tensorflow
• 5+ years of Python and C++ (especially C++11 and newer) experience
• 5+ years of experience with CI/CD pipelines with Azure Devops, Github/Gitlab, Jenkins/buildbot or similar, packaging and deployment.
• 3+ years experience with model compression and optimization techniques particularly for large transformer style models

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.

Additional or Preferred Qualifications:

• Experience in post training model optimization and quantization techniques such as GPTQ, LORA etc..
• Experience in fine tuning efficient teacher architectures, fast LLM adaption, token sparsification, token-free LLMs.
• Experience in fine-tuning models based on hugging face LLMs, BERT, GPT-3 or Llama.
• Prototyping products with aim to create minimum viable products with existing tools and models.
• Publication record in the areas of Machine Learning, Natural Language Processing in top-tier conferences or journals (CVPR, ICCV, ECCV, NeurIPS, ICLR).

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 May 23rd, 2025.

• Lead the engineering aspect of research, fine tune and optimize LLMs and transformer style models for local and Hybrid Inferencing
• Contribute to the technical design, architecture, development, and evaluation of large language models.
• Integrate LLMs and other large models to run on devices.
• Collaborate with engineering and lead product development teams.
• Contribute to a real-time system involving multiple components.
• Plan feature integration timeline and roadmap to take prototypes to production.
• Improve system quality through the design and implementation of new testing methodologies.

• Embody our and