Principal Applied Scientist

Job description

Conversational commerce introduces challenges that differ from traditional web shopping. Preferences emerge through dialogue, expectations for accuracy and trust are high, and systems must reason over context and frequently changing commerce data.

Microsoft Copilot is building shopping experiences that are conversational, proactive, and trustworthy. As a Principal Applied Scientist, you will lead the development of machine learning and generative AI systems that power product discovery, ranking, personalization, and reasoning across Copilot shopping surfaces. This role sits at the intersection of applied machine learning, generative AI, and product experience, with clear ownership of core shopping intelligence used directly in user-facing Copilot experiences.

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.  

• Design, build, and productionize machine learning models for product discovery, ranking, recommendation, and personalization using large-scale commerce and behavioral data.
• Develop LLM-based systems for conversational shopping, including prompt design, retrieval-augmented generation, tool orchestration, and grounding against structured commerce data.
This is an excerpt. Read the full job description on Microsoft careers →