Principal Applied Scientist

Microsoft

Quick summary

Work type
On-site
Location
Salary
$139,900–$274,800 / yr
Posted
85 days ago

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Competitive pay

How this pay compares to similar roles

Similar $198k
This role $207k
$124k most similar roles pay here $291k

This role pays more than 54% of similar roles. Most pay $162,000–$234,150 — the shaded band above. At the midpoint, this role pays about $207k 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

As a Principal Applied Scientist at Microsoft Teams, you will join a dynamic team dedicated to reinventing global teamwork through cutting-edge AI technologies. Your role involves leading research projects that enhance both the state-of-the-art and practical applications in core productivity products, such as reinforcement learning, multimodal modeling, and privacy-preserving AI. You will collaborate closely with researchers, engineers, product managers, and designers to integrate scientific rigor into product development, guiding non-research colleagues on advanced techniques and best practices. Additionally, you will communicate complex concepts effectively across the organization and contribute to the broader scientific community through publications and presentations. Ideal candidates have a strong background in AI research, with experience in shipping products or improving user experiences, and a track record of technical leadership and mentorship.

What you'll do

  • Define and lead research projects that advance state-of-the-art techniques while benefiting Microsoft’s productivity products.
  • Integrate scientific methods into product development to shape the direction of core productivity tools.
  • Teach colleagues about advanced AI techniques and best practices in research.
  • Publish and share research findings to contribute to the understanding of cutting-edge science-driven products.
  • Communicate complex concepts with product leaders and researchers during project planning and execution.

What we're looking for

  • PhD in Computer Science, Electrical Engineering, or related field with 10+ years of experience.
  • Strong publication record in top-tier scientific venues like NeurIPS, ICML, ICLR, ACL, and EMNLP.
  • Proven ability to translate research into practical applications that enhance user experiences.
  • Extensive experience leading technical teams and mentoring junior researchers or engineers.
  • Deep expertise in AI subfields such as reinforcement learning, multimodal modeling, and privacy-preserving AI.

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