Principal Engineering Manager

1 Day ago • 6-10 Years • Artificial Intelligence • DevOps • $137,600 PA - $294,000 PA

Job Summary

Job Description

This Principal Engineering Manager role leads a team focused on enabling rapid experimentation and innovation in AI/ML. Responsibilities include implementing efficient training and evaluation processes, driving adoption of AI Foundry and Azure solutions, mentoring engineers, collaborating across teams, and optimizing workflows. The ideal candidate has 6+ years of technical engineering experience, 3+ years in AI/ML infrastructure, and 2+ years with cloud platforms like Azure. Success is measured by the team's speed in driving innovation and improving access to new algorithms and models.
Must have:
  • 6+ years technical engineering experience
  • 3+ years AI/ML infrastructure experience
  • 2+ years cloud platform experience (Azure)
  • Leadership and team mentorship skills
  • Experience with AI Foundry and Azure solutions
Good to have:
  • Master's degree in Computer Science
  • 4+ years people management experience

Job Details

Overview

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

 

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.

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent 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 Science or related technical field AND 10+ years  technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
    • OR Master's Degree in Computer Science or related technical field AND 8+ 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 management experience. 

 

Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year.

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 4, 2025. 

 

 

#MSFTSecurity #EngineeringManager #AI #MachineLearning #CloudComputing #TechLeadership #Innovation #AIInfrastructure #Azure #Hiring #JobOpening #AIResearch #MLOps #DataScience

Responsibilities

  • 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.

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