Principal Software Engineer (AI R&D)

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security is seeking a Principal Software Engineer (AI R&D) to join us and 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.

Welcome to the applied research arm of Microsoft Security AI, where we engage in research to create truly differentiating products and services across Microsoft’s Security Division. In the 18 months since our organization’s founding, we have driven the research behind Microsoft Security Copilot and a suite of both foundational and specialized AI models. Our project portfolio includes a variety of short-to-long-term horizon projects with applications across Microsoft security suite. We are a culture-first organization, and our culture is one of ambition and science together with curiosity and humility. We believe in a future that is brighter and better than the present, and we want to be the ones who make it happen. We believe that customer obsession requires a commitment to investing in new knowledge. Our people are some of the best and brightest scientists and engineers in the world, and we collaborate every day, helping each other grow and break boundaries. But we do this with the humility that comes with the immense challenges of providing cybersecurity to millions of customers. We oversee and coordinate AI investments for Microsoft Security; work with engineering partners to accelerate and scale security research by making AI tools and data more accessible to security researchers; serve as Microsoft Security’s central hub for industry and academic partnerships; and drive thought leadership efforts to let the world know about or trailblazing work in security science and AI.

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:

• Bachelor's Degree in Computer Science, or related technical discipline 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.
• 5+ years experience in PyTorch, TensorFlow, or other machine learning (ML) frameworks
• 5+ years experience in scalable ML computing frameworks (Apache Spark, etc.)
• 8+ years experience in developing in Python, C/C++, and C#/CLR
• 8+ years experience in PaaS/SaaS development environments (Azure, AWS, etc.)

Preferred Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 12+ 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 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

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.

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 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 $209,600 - $314,400 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until June 19, 2024. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#MSFTSecurity #MSECAIR #MSFTAI #AI

• Develop AI-based analytics environments and scalable applications
• Develop telemetry and observation platform for monitoring and tuning GenAI-based applications
• Design and participate in scalable architecture for LLM/SLM-based security applications
• Design and implement fine tuning of GenAI models and their application for security use cases