Description
We're looking for a Member of Technical Staff – Full Stack Engineer, ML Efficiency & Observability to help us efficiently manage our compute capacity. 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.
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.
Microsoft 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.
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.
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