Senior Researcher, AI Systems

Microsoft

Quick summary

Work type: On-site
Location: —
Salary: $119,800–$234,700 / yr
Posted: 171 days ago
Closes: Jul 6, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k

This role $177k

$103k most similar roles pay here $275k

This role pays less than 71% of similar roles. Most pay $176,000–$246,150 — the shaded band above. At the midpoint, this role pays about $177k versus about $211k 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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View all roles at Microsoft

At a glance

TL;DR · Senior Researcher, AI Systems

Role Posting Log in to save

Microsoft Research is hiring a Senior Researcher to join its cutting-edge AI Systems team, focusing on advancing the state-of-the-art in AI infrastructure and ML systems. This role involves driving high-impact research, collaborating with interdisciplinary teams to develop and test innovative ideas, and building large-scale production systems across the entire AI model lifecycle. The ideal candidate will have a doctoral degree or equivalent experience in fields such as machine learning systems or high-performance computing, along with at least three years of relevant research background. Preferred qualifications include hands-on experience in developing and maintaining large-scale AI infrastructure and HPC systems, active participation in engineering efforts, and a track record of publications. The position requires expertise in Python, C++, and other relevant programming languages, as well as proficiency in cloud computing platforms like Azure or AWS.

Skills

Python C++ CUDA TensorFlow PyTorch Kubernetes Docker AWS Azure Google Cloud Platform CI/CD Git GitHub Jupyter Notebook PostgreSQL MongoDB HPC AI Infrastructure ML Systems Scalability Efficiency

What you'll do

Drive high-impact research in AI infrastructure and ML systems.
Develop and test new ideas for production-scale AI systems.
Maintain state-of-the-art systems in AI, ML, and HPC.
Prepare technical papers and presentations on research findings.
Collaborate with multi-disciplinary teams to advance AI technologies.

What we're looking for

Doctorate in ML systems, high-performance computing, or related fields.
3+ years of experience in AI infrastructure and ML systems research.
Experience building large-scale production AI and HPC systems.
Active participation in engineering efforts and system maintenance.
Demonstrated ability to collaborate effectively in multi-disciplinary teams.
Publication record in technical papers and presentations.

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