Microsoft AI is seeking engineers to build distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI, aiming to make Copilot responsive to user preferences, workflows, and goals while preserving privacy, security, performance, and scale.
Requirements
- 4+ years technical engineering experience with coding in languages including, but not limited to, Python, C++, C-Sharp, Golang, Rust, or Java
- 4+ years' experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.
- Experience with large scale data systems.
- Experience working with AI platforms, frameworks, and APIs.
- Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
Responsibilities
- Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
- Design data models and APIs that enable Copilot to reason about user context, preferences, and history.
- Build real-time and batch personalization engines that adapt Copilot’s behavior.
- Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled.
- Optimize for performance, reliability, and cost across diverse workloads and geographies.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
Other
- Work site: 4 days / week in-office
- Travel: 0-25%
- Methodical approach to problem-solving
- Ability to architect solutions that stand the test of time.
- Hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment.
- Judgment to make the right risk vs velocity and value decisions.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
