Principal Applied Scientist

Microsoft

Quick summary

Work type
On-site
Location
—
Salary
$163,000–$296,400 / yr
Posted
71 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $230k
$125k most similar roles pay here $315k

This role pays more than 70% of similar roles. Most pay $162,000–$234,150 — the shaded band above. At the midpoint, this role pays about $230k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 622 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Principal Applied Scientist

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The Principal Applied Scientist role within Microsoft’s newly formed Applied Science organization focuses on advancing the state-of-the-art in artificial intelligence to enhance productivity tools like Microsoft Teams. This senior-level position involves leading research projects that directly benefit core products while bridging the gap between scientific innovation and practical application. Day-to-day responsibilities include collaborating with interdisciplinary teams, integrating rigorous methods into product development, educating colleagues on cutting-edge techniques, and communicating complex concepts to leadership and researchers. Ideal candidates should have a strong track record of publishing in top-tier conferences and possess extensive experience in developing and deploying production systems across various stages of the product lifecycle. Expertise in areas such as reinforcement learning, multimodal modeling, human-centered AI, and privacy-preserving AI is highly valued, with an emphasis on delivering measurable impact through innovative research and development.

Skills

Python Java C# TensorFlow PyTorch Kubernetes Docker Azure AWS CI/CD PostgreSQL MongoDB Git GitHub Jupyter Notebook Scikit-learn Pandas NumPy MLflow

What you'll do

  • Define and lead research projects that advance state-of-the-art techniques while directly benefiting Microsoft’s productivity products.
  • Integrate rigorous scientific methods into the product lifecycle to shape product direction.
  • Teach colleagues without research backgrounds in state-of-the-art techniques and best practices.
  • Communicate complex concepts with product leaders and Microsoft researchers throughout project planning and execution.
  • Publish and share research findings to contribute to the understanding of cutting-edge, science-driven products.

What we're looking for

  • PhD in Computer Science, Engineering, or related field required.
  • Strong publication record in top-tier scientific venues like NeurIPS, ICML, ACL.
  • 7+ years of research experience in academic or industry settings.
  • Proven track record of developing and deploying live production systems.
  • Experience conducting research throughout the entire product lifecycle.
  • Demonstrated ability to influence technical direction and mentor team members.

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