Full Stack ML Efficiency & Observability

** 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 AI*
* This role is part of Microsoft AI. Our Superintelligence team is a startup-like organization within Microsoft, dedicated to pushing the boundaries of artificial intelligence while maintaining a strong commitment to safety, responsibility, and human values.

Our mission is to build AI that amplifies human potential and empowers people around the world. We strive to deliver breakthroughs that advance science, education, productivity, 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!

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.

** 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 experience.

+ 4+ years experience in business analytics, data science, software development, data modeling or data engineering work

*
* Preferred Qualifications:

 *
* + Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work

+ OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years of business analytics, data science, software development, data modeling or data engineering work experience

+ OR equivalent experience.

+

Experience with Capacity Management,…