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.
The Applied AI Scientist will explore and advance frontier AI technologies to create differentiated security capabilities. The role focuses on developing and validating novel AI methods, experimenting with emerging techniques, and adapting state-of-the-art models and learning approaches to complex security problems.
Responsibilities
Explore frontier AI techniques, including reasoning models, autonomous agents, retrieval, fine-tuning, and Reinforcement Learning Environments (RLE). Design and execute experiments to evaluate AI capabilities, limitations, and effectiveness in security scenarios. Develop novel approaches to model adaptation, agent behavior, and AI-powered security solutions. Build evaluation frameworks to measure performance, reliability, and effectiveness. Translate emerging AI research into technically validated solutions and differentiated intellectual property. Collaborate with engineering and product teams to transition successful experiments toward productization.
Qualifications
- Strong background in machine learning, deep learning, and modern generative AI technologies, including Large Language Models (LLMs).
- Hands-on experience developing, experimenting with, and evaluating advanced AI models and techniques, beyond basic API integration.
- Experience with frontier AI techniques such as agentic AI, reasoning models, reinforcement learning, fine-tuning, and retrieval-augmented generation (RAG).
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Strong background in machine learning, deep learning, and modern generative AI technologies, including large language models
- Hands-on experience developing, experimenting with, and evaluating advanced AI models and techniques beyond basic API integration
- Experience with agentic AI, reasoning models, reinforcement learning, fine-tuning, and retrieval-augmented generation
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
-
Healthcare Strength — Health coverage is described as comprehensive, with preventive care coverage, vision options, and annual out-of-pocket limits. Feedback suggests medical, mental-health, and disability support are a major strength of the package.
-
Parental & Family Support — Family support is expansive, including parental leave, family caregiver leave, child-care assistance, family concierge services, fertility options, and college-advising support for eligible employees. Feedback suggests these benefits meaningfully ease caregiving and family planning demands.
-
Wellbeing & Lifestyle Benefits — Wellbeing resources include counseling and employee-assistance services, wellness reimbursements, product discounts, and charitable-matching programs. Feedback suggests these extras complement core benefits and support day-to-day quality of life.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.






