Microsoft Principal Engineering Manager 

Taiwan, Taoyuan City 

633016766

The Security Models team is dedicated to accelerating and improving training and processes to enhance the efficiency of the broader organization. The team remains at the forefront of emerging technologies, ensuring rapid support and adoption of cutting-edge advancements. With a strategic focus on leveraging AI Foundry and Azure, the team optimizes workflows and reduces reliance on custom solutions, graduating them to standardized platforms as they gain support. The team's infrastructure and approach are designed to be highly portable, allowing seamless integration into various initiatives and shared environments. Role Description ML/AI Engineering Manager: As an Engineering Manager, you will lead a team focused on enabling rapid experimentation and innovation through efficient training, evaluation, and benchmarking workflows. Your responsibilities include staying ahead of emerging technologies, ensuring swift adoption, and fostering strong alignment with AI Foundry and Azure-based solutions. You will guide the transition of custom implementations to supported platforms, ensuring scalability and sustainability. Additionally, you will oversee the team's ability to integrate into various collaborative efforts, supporting broader organizational goals. Success in this role is measured by the speed at which the team drives innovation and improves accessibility to new algorithms and foundational models.

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical disciplineAND6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • ORequivalent experience.

• 3+ years experience in AI & ML Infrastructure: Background in developing and maintaining infrastructure to develop and deploy AI / machine learning models.

• 2+ years of experience with Cloud Platforms including but not limited to Azure, Google Cloud Platform (GCP), AWS and/ or other clouds for AI/ML development and deployment.

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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor's Degree in Computer Scienceor related technical fieldAND10+years technicalengineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • ORMaster's Degree in Computer Science or related technical fieldAND8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 4+ years people managementexperience

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 April 28, 2025.

• Technical Leadership: Guide the team in implementing efficient training and evaluation processes, ensuring alignment with emerging technologies and industry best practices.
• Strategic Integration: Drive adoption of AI Foundry and Azure-based solutions, making informed decisions on transitioning custom implementations to supported platforms for scalability.
• Team Development: Mentor and support engineers, fostering a collaborative and innovative environment to enhance technical expertise and problem-solving capabilities.
• Cross-Team Collaboration: Ensure seamless integration of the team's work into broader organizational initiatives, supporting shared infrastructure and cross-functional efforts.
• Operational Efficiency: Optimize workflows to enhance the speed and accessibility of new algorithms and foundational models, improving overall team efficiency.
• Innovation & Adoption: Stay ahead of cutting-edge advancements, enabling rapid support for new methodologies and tools that strengthen the organization's capabilities.