Reinforcement Learning Systems

Microsoft
Redmond, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 275K

Job location

Irving, United States of America

Tech stack

C
Java
JavaScript
Microsoft Excel
Artificial Intelligence
C Sharp (Programming Language)
C++
Computer Programming
Software Debugging
Desktop Computing
Distributed Systems
Python
Machine Learning
Microsoft Office
Software Engineering
Reinforcement Learning
Generative AI
Information Technology

Job description

Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing. Microsoft Superintelligence Team Microsoft Superintelligence team's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.This role is part of Microsoft AI's Superintelligence Team. The MAIST is astartup-like team inside Microsoft AI, created to push the boundaries of AI towardHumanist Superintelligence-ultra-capable systems that remain controllable, safety-aligned, and anchored to human values.Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society-advancing science, education, and global well-being.We're also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you're a brilliant, highly-ambitious and low ego individual, you'll fit right in-come and join us as we work on our next generation of models!

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary byjurisdiction.

Responsibilities

  • Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMDMIxxxarchitectures.

  • Benchmark GB200 and AMDMIxxxGPU clusters.

  • Gather data and insights to develop the pretrainingcomputeroadmap.

  • Care deeply about conversational AI and its deployment.

  • Actively contribute to the development of AI models that are powering our innovative products.

  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

Requirements

We are looking for individuals who can contribute tocutting-edgeresearch and help bridge the gap betweencutting-edgeresearch and robust, production-grade distributed systems. The ideal candidate has both distributed systemsexpertiseand a scientific mindset and will be able to build complex and scalable systems from the ground up,identifyand resolve performance bottlenecks, debug complex, cross-system issues with extremely high attention to detail, and contribute to solving scientific and research challenges. Specifically, they should:

  • Excel in programming (especially parallel/concurrent and distributed), software engineering, and system design

  • Have experience in large-scale systems, preferably having built some components from scratch.

  • Thrive in a highly collaborative, fast-paced environment

  • Have a high degree of craftsmanship and pay close attention to details

  • Effectively manage multiple responsibilities and can adjust to shifting priorities

A background in machine learning is preferred but notrequired. In this case, candidates mustdemonstratethey have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and related domains are a plus., * Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

  • OR equivalent experience., * Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • Experience with generative AI.
  • Experience with distributed computing.
  • Experience in leading technical projects and supporting architectural decisions with data.

About the company

Microsoft is a global technology company headquartered in Redmond, Washington. Our mission is to empower every person and every organization on the planet to achieve more. We develop, license, and support a wide range of software products, services, and devices that help individuals and businesses realize their full potential.

Our flagship products include the Microsoft 365 productivity cloud, Windows operating system, Azure cloud platform, and Dynamics 365 business applications. We are also a leader in areas such as artificial intelligence, cybersecurity, developer tools, and gaming through Xbox and Game Pass.

With operations in more than 190 countries and over 220,000 employees worldwide, Microsoft is committed to responsible innovation, inclusive economic growth, and sustainability. We work closely with governments, industries, and communities to ensure that technology serves the public good and helps address some of the world’s most pressing challenges.

As we celebrate our 50th anniversary in 2025, we continue to look forward—investing in AI, cloud, and quantum computing to shape the future of work, education, and society at large scale.

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