New 
Senior Machine Learning Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Jul 02, 2025 | |
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OverviewViva Engage connects people through communities, bringing leaders and employees together to share knowledge, clarify priorities, and build relationships. Viva Engage (formerly Yammer) is the premier tool to create multi-directional dialogue between tens of millions of employees worldwide every month.Engage team members are at the forefront of driving artificial intelligence (AI) applications and Copilot adoption to make communication and information sharing easy and authentic. Our work supports top challenges for our customers, including digital safety, trusted security standards, and deep analytics to help our customers maximize reach, reduce inefficiencies, and create a thriving organizational culture. We would love to have you join the team driving innovation, connection, and community for our valued global customers.As a Senior Machine Learning (ML) Engineer on the Viva Engage Search team, your experience in Search, Ranking, and Retrieval systems will help shape the future of intelligent search experiences in the Copilot and Agentic AI space. You will play a key role in designing, developing, and deploying cutting-edge machine learning models that power search experiences that connect individuals with each other and knowledge across organizations. Our focus lies in discovery, recommendations, and relevance across Viva Engage, leveraging data from our platform and across Office 365.This role presents an opportunity to create a vision around the Viva Engage machine learning platform and help us make it a reality. Our tight-knit, high-performing team, coupled with the unique challenges posed by social enterprise analytics, will offer plenty of opportunities for impact. 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.
ResponsibilitiesOwn the full ML lifecycle - Design, build, deploy, and monitor end-to-end pipelines that power Copilot and Agentic Search experiences.Build production-ready AI agents that automate workflows and surface smart, context-aware recommendations to boost user productivity.Work with massive, complex datasets by applying advanced statistical and machine-learning methods to solve ambiguous, high-impact problems.Apply Large Language Models (LLMs) to deliver deep semantic understanding and natural-language interactions that connect employees to knowledge across Microsoft 365.Leverage generative-AI techniques for data augmentation, relevance tuning, and highly personalized discovery experiences.Validate product intuition with experimentation - translate insights into roadmap influence and data-driven decisions that move key metrics.Communicate with clarity - distill intricate technical work for diverse audiences across engineering, product, and executive leadership. | |