Overview
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.
Responsibilities
- 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.
Qualifications
Required Qualifications- 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.
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for t
