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.
Required Qualifications:
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:
Preferred Qualifications:
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 April 28, 2025.
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