Senior Machine Learning Engineer

The Senior Machine Learning Engineer will design, build, deploy, and scale production machine learning systems. This is a deeply technical, hands-on role for an engineer with experience transforming machine learning models and research innovations into reliable product capabilities.

The ideal candidate has experience building systems across the machine learning lifecycle, including data processing, model training, evaluation, inference, and production operation. They will partner closely with applied scientists and software engineers to solve complex engineering problems spanning models, data, infrastructure, and services.

At the Senior level, this person will independently own major components and projects, make sound technical decisions, and drive complex work from design through production. They will contribute to the architecture of broader systems, coordinate work across components or partner teams, and develop reusable solutions that improve the team’s ability to build and operate machine learning capabilities.

This role is particularly suited to someone passionate about AI safety and Responsible AI and motivated to build systems that help advanced AI capabilities operate safely, reliably, and responsibly.

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.

• Design and build production systems for machine learning training, evaluation, inference, and operation.
• Transform machine learning models and research innovations into reliable, scalable product capabilities.
• Own complex engineering projects from technical design through implementation and production deployment.
• Develop infrastructure, services, and reusable components that support multiple models and workloads.
• Diagnose and resolve challenges involving system performance, scalability, reliability, and efficiency.
• Partner with applied scientists and software engineers to integrate modeling advances into production systems.
• Contribute to architectural decisions and coordinate technical work across components and partner teams.
• Incorporate security, privacy, safety, and Responsible AI considerations throughout system design and development.
• Mentor other engineers and contribute to strong engineering practices across the team.

• Bachelor's Degree in Computer Science or related technical 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.

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.