Microsoft

This role focuses on building large-scale Copilot memory and personalization systems using RAG, search, embeddings, retrieval, and ranking. The individual will be responsible for designing and implementing these systems, collaborating with stakeholders, and mentoring engineers. Experience with LLM applications and large-scale embedding/retrieval/ranking systems is required.

Software Engineer II role focused on designing and building AI-powered scheduling systems by integrating backend services, LLMs, APIs, and Outlook services for Microsoft Calendar and Teams. The role involves developing agent-driven solutions to reduce cognitive load and empower users in the hybrid work era.

Research Intern position focused on Human-AI Interaction in Healthcare, applying AI/ML and user-centered design to develop novel solutions for precision medicine. The role involves foundational discovery research, building interactive prototypes, and exploring generative UI and multimodal AI with clinical data.

The Microsoft 365 Copilot Windows App team is building intelligent, multimodal AI experiences into Windows, enabling AI agents using MCP to redefine user interaction with devices and bring AI to billions. The role involves designing and implementing intelligent features leveraging voice, camera, and screen context, building and optimizing agentic workflows, and owning end-to-end AI capabilities.

Research intern role focused on applying LLM and Agentic technology to improve the reliability of large-scale cloud and AI systems. The role involves analyzing production data, designing and building novel tools for monitoring and troubleshooting, and validating solutions on real Microsoft services.

Software Engineer II - CoreAI role focused on developing connectors and enriching ingested content with AI/ML capabilities for Azure AI Search, aiming to make it the knowledge and memory layer for Agentic applications. This involves generating vector embeddings, transforming data, and advancing multi-modal search.