Microsoft Principal Security Researcher - AI 

Taiwan, Taoyuan City 

584478500

The team builds and operates the large-scale AI training and adaptation engines that power Microsoft Security products, turning cutting-edge research into dependable, production-ready capabilities. As a, you will lead end-to-end model development for security scenarios, including privacy-aware data curation, continual pretraining, task-focused fine-tuning, reinforcement learning, and rigorous evaluation. You will deepen model reasoning and tool-use skills, and embed responsible AI and compliance into every stage of the workflow. The role is hands-on and impact-focused, partnering closely with engineering and product to translate innovations into shipped experiences, designing objective benchmarks and quality gates, and mentoring scientists and engineers to scale results across globally distributed teams. You will combine strong coding and experimentation with a systems mindset to accelerate iteration cycles, improve throughput and reliability, and help shape the next generation of secure, trustworthy AI for our customers.

Required/minimum qualifications:

• Doctorate in Statistics, Mathematics, Computer Science or related field
  • OR 7+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection.
• Experience with privacy preserving ML including differential privacy concepts, privacy risk assessment, and utility measurement on privatized data.
• Proven track record of building and training large language models or multimodal models for production scenarios, including continual pretraining and task specific adaptation.

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.

Additional or preferred qualifications:

• Doctorate in Statistics, Mathematics, Computer Science or related field OR 8+ years experience in software development lifecycle, large-scale computing, modeling, cybersecurity, and/or anomaly detection.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: h

Responsibilities:

• Defines and collects the information that is needed and analyzes information to gain insight into and address complex security problems and threats.
• Works with others to incorporate findings into future designs and analyses (e.g. creates working groups).
• Sought by others for expertise.Demonstrates thought leadership.
• Influences direction and best practices across the organization. Leads, facilitates, and participates in industry and company-wide forums.
• Oversees creation and design of mitigations across multiple technologies and / or products.
• Drives product change to address systemic issues to mitigate and prevent recurrence. Anticipates previously unknown potential artifacts that could be present in data as indicators of attacker activity.
• Tracks advances within the industry, identifies relevant research, and adapts algorithms and/or techniques to develop new tools and automations. Leverages knowledge of work being done on team to propose future efforts. Proactively develops strategic responses to specific strengths, weaknesses, opportunities, threats, and/or trends. Serves as subject matter expert and role model for less experienced engineers.