Senior Applied Scientist and Principal Applied Scientist

Microsoft

Quick summary

Work type
On-site
Location
US
Salary
$119,800–$234,700 / yr
Posted
67 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k
This role $177k
$106k most similar roles pay here $248k

This role pays less than 52% of similar roles. Most pay $162,000–$217,437 — the shaded band above. At the midpoint, this role pays about $177k versus about $190k 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 · Senior Applied Scientist and Principal Applied Scientist

Senior and Principal Applied Scientists are sought after to join Microsoft’s productivity division, collaborating with product teams and researchers to advance cutting-edge technologies in products like M365 Copilot and Dynamics 365. Day-to-day responsibilities include leading research projects that enhance state-of-the-art AI techniques while directly benefiting core productivity tools, integrating scientific methods into the product lifecycle, and bridging the gap between research and development by teaching colleagues about advanced concepts. Candidates should have a strong publication record in top-tier venues and experience in areas such as reinforcement learning, multimodal modeling, and human-centered AI. Preferred qualifications include real-world impact through shipped products or improved user experiences, and internships at leading tech companies.

What you'll do

  • Define and lead research projects that advance state-of-the-art AI while benefiting Microsoft’s productivity products.
  • Integrate rigorous scientific methods into the product lifecycle to shape product direction.
  • Teach colleagues without research backgrounds in advanced techniques and best practices.
  • Publish and present research findings at top-tier venues to contribute to scientific understanding.
  • Serve as a bridge between research teams and product stakeholders, facilitating knowledge exchange.

What we're looking for

  • PhD in Computer Science or related field with 1+ year of experience or equivalent.
  • Record of publications in top-tier scientific venues like NeurIPS, ICML, ICLR.
  • Ability to integrate rigorous scientific methods into product lifecycle and shape direction.
  • Experience teaching state-of-the-art techniques and research best practices to colleagues.
  • Proven real-world impact from research through shipped products or improved user experiences.

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