← All roles

Principal Applied Scientist

Microsoft· Applied Sciences
Apply on company site
Redmond, WA$142.8k - $274.8kFull-timePosted 4d ago

About the role

The AI Transformation team at Microsoft Frontier Company applies data science, machine learning, and generative AI to build intelligent solutions that transform how the company operates. The role combines multidisciplinary collaboration, rapid experimentation, and production-ready AI capabilities to deliver measurable operational impact while ensuring Responsible AI and governance.

Responsibilities

  • Advance and apply state-of-the-art AI, including foundation models, reasoning systems, multi-agent architectures, RAG, and emerging techniques, to solve complex operational problems across Microsoft Frontier Company.
  • Identify high-value opportunities where applied AI can fundamentally improve how work is performed, and translate ambiguous business problems into rigorous technical approaches and experiments.
  • Rapidly prototype, evaluate, and iterate on AI solutions, using AI-first development and coding tools to accelerate experimentation and move promising approaches toward production.
  • Design robust evaluation methodologies, benchmarks, experiments, and success criteria that connect model and system performance to measurable operational outcomes.Build scalable data, experimentation, and learning loops that use real-world signals and feedback to continuously improve AI systems.
  • Translate research into production-ready capabilities, partnering closely with engineering teams across architecture, implementation, deployment, observability, reliability, and performance.
  • Develop reusable AI methods, frameworks, and evaluation approaches that can accelerate multiple transformation scenarios rather than solving only a single use case.
  • Provide technical leadership across applied AI initiatives, helping teams evaluate emerging techniques, make sound technical tradeoffs, and determine where new approaches can create meaningful impact.
  • Ensure Responsible AI, privacy, security, scientific rigor, and appropriate governance are incorporated throughout experimentation and deployment.

Qualifications

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Skills

Required:state-of-the-art AIexperimental designproduction deployment
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Microsoft

Cloud ComputingConsumer ElectronicsSoftwareTechnologyliquid-ai-recruiting-target
Company profileWebsite

More open roles at Microsoft