New 
Senior Applied Scientist, Viva Engage
 Microsoft | |
 United States, Washington, Redmond | |
 Jan 31, 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 Applied Scientist at Viva Engage, your role is to build predictive models 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.
ResponsibilitiesBuild and iterate on machine learning models to power recommendations for the Viva Engage Feed. Develop AI Agents to assist with tasks to productivity through automation and intelligent recommendations. Work with large, complex data sets, solving difficult, non-routine analysis problems with advanced analytical methods. Utilize Large Language Models (LLMs) for advanced text analysis and natural language understanding tasks, enabling deeper connections and knowledge sharing across organizations. Leverage generative AI techniques to enhance data augmentation and predictive capabilities, further improving recommendations and personalized user experiences. Develop deep product intuition to influence future product roadmaps and drive decision-making. Collaborate with product and engineering to craft experiments and test hypotheses. Use communication skills to distill complex technical work for audiences of all levels and across multiple functional areas. Navigate complex situations and influence across multiple product areas by leveraging leadership acumen. | |