Member of Technical Staff, Reinforcement Learning Systems - MAI Superintelligence Team | Microsoft Careers

Microsoft

Closes in 2 days Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$142,800–$274,800 / yr
Posted
177 days ago
Closes
Jun 6, 2026 (soon)

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Competitive pay

How this pay compares to similar roles

Similar $211k
This role $209k
$127k most similar roles pay here $291k

This role pays more than 56% of similar roles. Most pay $177,250–$245,112 — the shaded band above. At the midpoint, this role pays about $209k versus about $211k for comparable roles.

Based on 240 similar postings.

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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.

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TL;DR · Member of Technical Staff, Reinforcement Learning Systems - MAI Superintelligence Team | Microsoft Careers

Microsoft AI’s Superintelligence Team is seeking a Member of Technical Staff – Reinforcement Learning Systems to join their cutting-edge research and development efforts. This senior-level role involves designing, developing, and operating large-scale reinforcement learning systems that power various use cases within the team, including training agents and conversational assistants. The ideal candidate will excel in programming, software engineering, and system design, with a focus on building complex and scalable distributed systems from scratch, identifying performance bottlenecks, and resolving intricate cross-system issues. They should have experience with large-scale systems and thrive in a collaborative, fast-paced environment while demonstrating the ability to quickly learn new subjects such as machine learning or mathematics. The role requires expertise in parallel/concurrent programming, software engineering, system design, and distributed computing, contributing to the development of AI models that drive innovative products like Copilot.

What you'll do

  • Develop and optimize pretraining software for Nvidia GB200 and AMD MIxxx GPU architectures.
  • Benchmark performance of GB200 and AMD MIxxx GPU clusters.
  • Collect data to inform the pretraining compute roadmap.
  • Contribute to the development of AI models powering innovative products.
  • Identify and resolve performance bottlenecks in large-scale reinforcement learning systems.

What we're looking for

  • Extensive programming expertise in parallel/concurrent and distributed systems.
  • Proven track record of building large-scale systems from scratch.
  • Strong software engineering skills and system design proficiency.
  • Ability to identify, debug, and resolve complex performance bottlenecks.
  • High attention to detail with a scientific mindset for robust solutions.
  • Experience in managing multiple responsibilities and adapting to shifting priorities.

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