Microsoft Principal Machine Learning Engineer 

Taiwan, Taoyuan City 

771637625

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.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to Python, C, C++, C#, or Java
  • OR equivalent experience.
• Proficiency with machine learning frameworks such as PyTorch or scikit-learn.
• 3+ years of experience in coding and design, specifically in the development of AI models and agents for scaled production services.
  
• 3+ years of experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.

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:

• Master's or doctoral degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, Python, C, C++, C#, or Java
  • OR equivalent experience.
• 5+ years of experience in coding and design, specifically in the development of AI models and agents for scaled production services.
  
• 5+ years of experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.

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 14th, 2025.

• Design and develop advanced artificial intelligence (AI) models and agentic systems for real-world applications.
• Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.
• Stay up to date with the latest advancements in large language models (LLM), natural language processing (NLP), deep learning, search, and AI research.
• Collaborate closely with applied scientists and other engineering teams to productionize models, build scalable, robust pipelines, and provide support for in-production AI models and agents.
• Contribute to the team's strategic vision, the organization’s scientific direction, and align them with the overall company objectives, including roadmaps and long-term vision.
• Conduct applied science experiments, create and validate metrics, develop machine learning pipelines and modeling algorithms in areas including LLMs, NLP, and Information Retrieval.