Member of Technical Staff, Full Stack - ML Efficiency & Observability - MAI Superintelligence Team

Overview

Microsoft AI is looking for a Member of Technical Staff - Full Stack Engineer, ML Efficiency & Observability to help us efficiently manage our compute capacity. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span capacity, efficiency, data architecture, training and inference infrastructures, and many other exciting topics at the cutting edge of AI.

Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Senior Engineer - Full Stack, ML Efficiency & Observability you will be responsible for building world-class user experience for our executives as well as out ML researcher. You'll work closely with research and framework teams to turn their requirements into intuitive experiences that lead to efficiency improvements.

As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software components.

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!

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.

By applying to this Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.

Responsibilities

Responsibilities

* Design and develop features for our capacity management portal

* Design and develop features to provide visibility into model performance and quality across our fleet

* Partner with ML researchers and PMs to translate functional requirements into highly functional, intuitive and appealing interfaces

* Integrate with backend APIs from schedulers to training frameworks to build visibility across the training life cycle

* Explore, develop, and adapt new innovations to the software development process

* Contribute to the development of internal tooling and infrastructure

* Implement best software development practices to ensure code quality. Hold a high quality bar.

* Embody our culture and values.

Qualifications

Required Qualifications:

* Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent…