Microsoft's Feeds and AI team is building Microsoft Start, a content powerhouse designed to inform, entertain, and inspire every person on the planet. We are seeking a Senior Applied Scientist to join our ranking foundation team, focusing on recommender systems. In this role, you will contribute to the development and optimization of our online services and offline pipelines within our content ecosystem to achieve product and business growth goals.
As a senior engineer in the ranking foundation team, you will:
- Build next-generation recommender systems powering Feeds experiences for products like Windows and the Edge Browser
- Develop highly scalable, highly available services deployed worldwide
- Collaborate with partner teams to deliver platform-level features across multimedia search, advertising, and enterprise search
- Design and implement services with a focus on performance, efficiency, reusability, and maintainability
- Optimize dataflow and Machine Learning pipelines for measurable improvements
- Build essential metrics to monitor code, data, and model evolution
- Develop systems and toolsets working across multiple orchestrators, source control, and build systems (ADO and GitHub)
- Mentor engineers and promote an inclusive learning environment
The ideal candidate will have:
- BS/MS degree in Computer Science, Mathematics, or related discipline
- 5+ years of experience writing code (C/C++, C#, Java) for large-scale systems
- Experience with CI/CD pipelines like Azure DevOps, GitHub Workflow
- Expertise in low-level programming, distributed architectures, or real-time systems
- Experience operating, troubleshooting, and supporting high-performance, business-critical production systems
- Ability to deal with ambiguity and prioritize issues
Microsoft values diversity of background and perspective, seeking individuals who are eager to learn and grow. Join us in building complex systems that power some of the biggest online services on the planet.