Senior Applied AI Engineer

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.

We are seeking a Senior Applied AI (Artificial Intelligence) Engineer to join the Applied Research arm of Microsoft Security AI Research (MSECAIR), where we engage in cutting-edge research to create truly differentiating products and services across Microsoft’s Security Division. Since our organization’s founding 18 months ago, we have driven the research behind Microsoft Security Copilot and developed a suite of both foundational and specialized AI models. Our project portfolio spans short-to-long-term horizon projects within Microsoft's security suite. As a culture-first organization, we blend ambition and science with curiosity and humility, believing in a future that is more secure than the present for all our customers. We are committed to customer obsession through investing in new knowledge and fostering a collaborative environment where some of the best and brightest scientists and engineers in the world help each other grow and break boundaries. We oversee AI investments for Microsoft Security, work with product partners to scale security research by making AI tools and data more accessible, serve as Microsoft Security’s hub for industry and academic partnerships, and drive thought leadership to showcase our pioneering work in security science and AI. In this role, you will drive AI-centric development for security scenarios, focusing on AI-driven ETL (Extract Transform Load)  processes, data enrichment, schema normalization, and transformation. Collaborating with a team of world-class researchers, you will develop novel methods, tools, and frameworks, including advanced autonomous AI services, AI skills for our Security Copilot, new GenAI models tuned for our cloud environments, and agent-based systems for GenAI-based security experiences. Additionally, you will work with internal and external partners to apply your work to real-world scenarios and challenges, ultimately helping secure the digital estates of our customers.

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  4+ 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, Math, Software Engineering, Computer Engineering, or related field AND 3+ year(s) 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.

Preferred Qualifications: 

• Large-Scale Machine Learning (ML)/AI Services: Experience in shipping at least one large-scale ML/AI-based service or application, preferably in the security domain on cloud platforms such as Azure, AWS, or GCP.
• Cloud ML and SaaS Engineering: Extensive experience in developing and deploying machine learning solutions on cloud platforms, with a understanding of SaaS engineering principles.
• Machine Learning Frameworks: Proficiency in Python, PyTorch, TensorFlow, or similar machine learning frameworks.
• Large Language Models (LLMs) and GenAI: Hands-on experience with LLMs (e.g., OpenAI) and open-source GenAI (agent-based) frameworks.
• Relevant Technologies: Experience in any of these is a plus: Apache Spark, Graph Databases, Vector Databases, Python, C#, Azure and/or AWS APIs and Services Data
• Transformation and Enrichment:  background in designing and implementing ETL processes, data enrichment, schema normalization, and transformation.

Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 September 13, 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 #AIEngineer #CyberSecurity #MachineLearning #DataTransformation #SHPE24MSFT

• AI Development and Automation: Collaborate with applied research and product teams to develop advanced AI services and automation tools aimed at reducing security risks. Your work will accelerate detection, containment, investigation, and remediation processes.
• AI-Driven ETL and Data Enrichment: Develop and implement AI-driven ETL processes, focusing on data enrichment, schema normalization, and transformation to ensure high-quality and contextually accurate data for security applications. Experimentation and Observation: Participate in the development of our AI experimentation and observation platform, driving continuous improvement of AI models and user experiences through iterative experimentation and feedback loops.
• Cross-Functional Collaboration: Work closely with senior technical staff from Copilot for Security and other Microsoft Security products to integrate and enhance security solutions, ensuring that AI-driven processes are effectively utilized.
• Technical Design and Innovation: Develop comprehensive technical designs and architectures to transition research innovations into practical, shipping products. This includes creating novel methods, tools, and frameworks for AI-centric security scenarios.
• Leadership and Collaboration: Foster leadership and collaboration across research and product teams, breaking down silos and driving collective success. Engage with internal and external partners to apply research findings to real-world security challenges.

Other

• Embody our Culture and Values