Senior Researcher - AI and Systems Reliability - Microsoft Research | Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
WA
Salary
$119,800–$234,700 / yr
Posted
170 days ago
Closes
Jun 14, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $177k
$105k most similar roles pay here $256k

This role pays less than 62% of similar roles. Most pay $174,700–$235,750 — the shaded band above. At the midpoint, this role pays about $177k versus about $205k 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 571 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 522 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · Senior Researcher - AI and Systems Reliability - Microsoft Research | Microsoft Careers

As a Senior Researcher in Microsoft Research’s AI and Systems Reliability Group based in Redmond, WA, you will lead the development of cutting-edge research initiatives focused on enhancing the reliability and formal rigor of AI technologies. Your daily tasks include defining a novel research agenda, collaborating with interdisciplinary teams to solve complex problems, and translating theoretical concepts into practical applications that impact Microsoft’s products and services globally. Ideal candidates possess expertise in areas such as distributed systems, machine learning for system reliability, and formal methods, along with a strong track record of publishing in top-tier conferences like NeurIPS and SOSP. This role demands proficiency in cloud systems, effective communication skills, and the ability to work collaboratively within a dynamic research environment.

What you'll do

  • Define and lead a novel research agenda in AI and system reliability.
  • Drive forward basic, fundamental, and applied research initiatives independently.
  • Apply formal methods to ensure the reliability of machine learning systems.
  • Collaborate with teams to integrate research findings into real-world products.
  • Publish research outcomes in top-tier conferences and journals regularly.
  • Stay updated with advancements in distributed systems and cloud computing.

What we're looking for

  • PhD in Computer Science or related field.
  • Research experience with publications in top-tier conferences/journals.
  • Strong background in distributed systems and cloud technologies.
  • Proven ability to collaborate effectively in multi-disciplinary teams.
  • Expertise in formal methods, verification, or system reliability.
  • Experience in high-performance computing, ML systems, or storage systems.

More like this

Similar roles