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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 looking for a senior applied scientist to join and shape the research and product roadmap for the team in this space. We are looking to hire a Senior Applied Scientist - Security Research, you will have the opportunity to design and lead the implementation of advanced security solutions, leveraging cutting-edge machine learning and data-driven approaches to protect millions of users worldwide. You will collaborate with people at the forefront of their field from across the organization and see your ideas turn into reality with real-world impact at Microsoft scale. This is a hands-on role.
Job Responsibility:
Model development & optimization. Design, develop, fine‑tune, and evaluate models, summarization, and reasoning
Data & evaluation at scale. Build/extend data pipelines for curation/labeling/feature stores
author offline eval harnesses
run A/Bs
define guardrails and success metrics
Production ML engineering. contribute to service code and configs
add monitoring, tracing, dashboards, and auto‑scaling
participate in on‑call and postmortems to improve live‑site reliability
Collaboration & mentoring. Partner across PM/ENG/Research teams and beyond
identify AI technologies to create an adaptive and scalable solution to provide protection for our customers, share methods and code, review PRs, improve reproducibility and documentation
mentor junior scientists
Prototype end to end solutions (working in partnership with other stakeholders) to quickly prove out emergent technologies
Seek out experts across Microsoft and industry to learn about potential solutions and bring back the best and most relevant to solve our most critical problems
Serves as a subject matter expert by owning models and participate in oncall
Let a deep empathy for customers guide you to improvements that make a tangible difference
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Nice to have:
1+ years experience bringing new technology and approaches into production by applying long-term research efforts to solve immediate product needs
4+ years applied ML/NLP experience delivering models and features to production at scale
Languages and Technology - Python, R, C, SQL, Kusto / Azure Data Explorer, Power BI
Proven collaboration with partners and stakeholders to integrate ML into shipped product and to drive measurable business impact
Experience with fraud/security a plus
Experience with developing Agentic AI (Artificial Intelligence) in a COGS (Cost of Goods Sold) efficient manner
Experience working across multiple product teams to deliver combined innovations and features and representing innovative work across the greater organization and/or the industry
Able to deliver impact through collaborative work across organizational boundaries and thrive in an agile environment balancing committed work with emerging innovative solutions