We are looking for an Applied Scientist II – Applied Science in the field of Large Language Models (LLMs) and Small Language Models (SLMs). This role emphasizes evaluation and data synthesis as the foundation for building future intelligent and agentic systems.
You will design and operationalize robust evaluation metrics for multimodal embeddings, retrieval-augmented generation (RAG) pipelines, and agentic systems that combine reasoning, planning, and action. These metrics will not only measure performance but also guide the creation of new datasets, inform data synthesis and augmentation strategies, and identify opportunities for novel end-to-end solutions.
Through this evaluation-driven approach, you will shape the direction of agentic architectures, new model designs, and applied research initiatives, ensuring that our systems continuously adapt, improve, and expand their capabilities. The ability to analyze multimodal data and interpret human and human-object interactions is central to Applied Science’s mission of enabling seamless human-computer interaction.
As part of this team, you will collaborate with a growing group of talented researchers already dedicated to this mission and leverage data and hardware resources available to only a select few. Naturally, the opportunity for you to push the state of the art in this field is huge.
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.