Microsoft Machine Learning Engineer 

Taiwan, Taoyuan City 

833949899

As a, you will work alongside leading scientists to build and optimize infrastructure for frontier models—including large language models (LLM), small language models (SLM), and multimodal systems—leveraging both proprietary and open-source frameworks. Your responsibilities will span the full engineering lifecycle: from model training and serving to monitoring and continuous deployment, with a focus on reliability, performance, and scalability in real-world environments.

Required Qualifications

• Bachelor's Degree in Computer Science, Math, Electrical or Computer Engineering, Statistics, Econometrics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 2+ years experience in developing AI models in Python and relevant ML libraries, and familiar with LLM and SLM.
• 2+ years experience with building ML infra and deploying ML models for scaled production services.
• 2+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.

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:

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

Preferred Qualifications

• Master's Degree in Computer Science, Math, Electrical or Computer Engineering, Statistics, Econometrics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Bachelor's Degree in Computer Science, Math, Electrical or Computer Engineering, Statistics, Econometrics, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Doctorate in Computer Science, Math, Electrical or Computer Engineering, Statistics, Econometrics, or related field.
• 3+ years experience with Python and relevant ML libraries (e.g., PyTorch).
• 3+ years experience with building ML infrastructure and developing and deploying ML models.
• 3+ years experience in coding and design, specifically in the development of AI models for scaled production services.
• 3+ years experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.
• Publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.
• Advance research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data.
• Drive the team's strategic vision and align it with the overall company objectives.
• Collaborate with stakeholders to define project goals, success criteria, and deliverables.