Microsoft AI is looking for passionate individuals to work on challenging AI questions and build systems with true artificial intelligence. The AI Product Acceleration team needs an AI Platform Engineer to enable rapid development and deployment of AI across Microsoft products, empowering other teams to build AI products quickly and seamlessly.
Requirements
- Deep experience with Python AND at least one of the following: Golang, Java/Scala, Typescript (React, Next.js)
- 4 years' experience in building and releasing production software at the platform level.
- Strong knowledge of APIs, data flows, systems, and services.
- Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js)
- Experience in model pretraining, post-training, evaluation, and inference
- Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
- Experience going from zero-to-one as well as working with developed systems.
Responsibilities
- Design, develop, and maintain platform-level software solutions.
- Collaborate with cross-functional teams to integrate AI capabilities into various products.
- Ensure the reliability, scalability, and performance of platform components.
- Stay updated with the latest advancements in AI and engineering.
- Work alongside the technical staff and AI researchers to improve model development flows.
- building and releasing production software at the platform level.
- Work on APIs, data flows, systems, and services that form the backbone of our AI products.
Other
- By applying to this U.S. Mountain View CA position, you are required to be local to the Mountain View CA area and in office 3 days a week.
- 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.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
