Full Stack ML Efficiency & Observability

Microsoft
$119,800.00 - $234,700.00 / yr
United States, Texas, Irving
7000 State Highway 161 (Show on map)
Jul 06, 2026
Overview Microsoft AI is looking for a Member of Technical Staff - Full Stack Engineer,ML Efficiency & Observabilityto helpusefficientlymanageourcomputecapacity.We'relooking 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 spancapacity, efficiency, data architecture,training and inference infrastructures, and many other exciting topics at thecutting edgeof AI. Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require largecompute-capacity, and as aSenior Engineer - Full Stack, ML Efficiency & Observabilityyou willbe responsible forbuilding world-class user experience for our executives as well asoutML researcher.You'llwork closely with research and framework teams to turn their requirements intointuitive experiences that lead to efficiencyimprovements. 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 softwarecomponents. 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. Thank you! 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 by jurisdiction. Responsibilities Responsibilities Design and developfeatures for our capacitymanagementportal Design and develop featuresto providevisibility into model performance and quality across our fleet Partner with ML researchers andPMsto translate functionalrequirements into highly functional,intuitiveand appealing interfaces Integrate with backendAPIsfrom schedulers to training frameworksto build visibility across the traininglife cycle Explore, develop, and adapt new innovations to the software development process Contribute to the development of internal tooling and infrastructure Implementbest software development practices to ensure code quality.Hold ahigh qualitybar. 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, Efficiency Management, MLTrainingand/or Inference Solidexpertisein JavaScript / TypeScript, React, HTML,CSSand browser internals Solid understanding of web performance, accessibility, and crossbrowser compatibility Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code Software development experience withGenerative AI tools Experience in leading technicalprojects andsupporting architectural decisions with data. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.