Principal Applied Scientist | Microsoft Careers

What you'll do

• Lead the development of grounding and search systems for Microsoft's AI platforms.
• Improve ranking models to enhance search result quality across various surfaces.
• Build systems that enable AI agents to generate reliable answers from trusted sources.
• Enhance end-to-end retrieval quality through query understanding and semantic retrieval.
• Advance multi-turn agent experiences by improving context understanding and tool use.
• Optimize models for grounded behavior using techniques like supervised fine-tuning.
• Define evaluation methods to measure success in ranking, retrieval, and factuality.

What we're looking for

• Deep expertise in large language models, information retrieval, ranking, and agentic AI.
• Extensive experience building, evaluating, and deploying machine learning models in production.
• Hands-on experience with offline and online evaluation techniques for model performance.
• Proven ability to lead complex technical projects and influence product direction.
• Strong communication skills to explain scientific tradeoffs to both technical and non-technical stakeholders.
• Experience working with large-scale datasets and distributed training or inference systems.
• Demonstrated success in improving multi-turn AI assistant experiences in real products.