Member of Technical Staff - Pre Training - MAI Superintelligence Team

Overview

Help deliver one of the best foundational models in the world at Microsoft AI.

At Microsoft AI, we are on a mission to train the world's most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning  a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.

We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:

* Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects

* Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making

* Have experience and/or in-depth understandings about large-scale distributed systems

* Demonstrate an ability to work collaboratively in a fast-paced, innovative environment

Microsoft'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.

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 by jurisdiction.

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 a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist 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!

Responsibilities

* Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations

* Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack

* Collaborate closely with teams on infrastructure, data, post-training, and multimodality

* Embody our culture and values.

Qualifications

Required Qualifications

* Bachelor's Degree in Computer Science, Machine Learning, Mathematics, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

* OR equivalent experience.

Preferred Qualifications

* 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 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,…