About The Position

The Security Models Training 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 Principal Applied Scientist - Security AI Models, 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 drive training efficiency on distributed GPU systems, 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.

Requirements

  • Strong coding skills.
  • Experience with AI model development.
  • Knowledge of privacy-aware data curation.
  • Experience with continual pretraining and task-focused fine-tuning.
  • Familiarity with reinforcement learning.
  • Ability to conduct rigorous evaluation of models.

Nice To Haves

  • Experience with distributed GPU systems.
  • Background in security scenarios.
  • Experience in mentoring and leading teams.

Responsibilities

  • Lead end-to-end model development for security scenarios.
  • Drive training efficiency on distributed GPU systems.
  • Deepen model reasoning and tool-use skills.
  • Embed responsible AI and compliance into every stage of the workflow.
  • Partner closely with engineering and product to translate innovations into shipped experiences.
  • Design objective benchmarks and quality gates.
  • Mentor scientists and engineers to scale results across globally distributed teams.
  • Combine strong coding and experimentation with a systems mindset to accelerate iteration cycles.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Number of Employees

5,001-10,000 employees

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