Senior Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 Nov 25, 2024 | |
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OverviewCome build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead. Applied Scientist are involved in advancing the state-of-the-art in AI and research. They are responsible for researching and developing an understanding of innovative tools, technologies, and methods that can be applied to improve product quality, performance, or efficiency. This role is pivotal in contributing knowledge around specialized tools and methods to support business impact, and serves as an expert in deeply specialized areas. Applied Scientists in this role are also involved in capability management and networking, reinforcing a positive environment, and contributing to publications on research finding. 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.
ResponsibilitiesFosters partnerships across Microsoft and beyond to deliver expertise and technology, bridges research and development to introduce new solutions, and contributes to intellectual property through research publications and technology transfers, all aimed at creating significant business impact. Develops deep expertise in specific research areas and broad knowledge in related fields, applies cutting-edge research and advanced concepts in collaboration with product teams, and contributes specialized knowledge to enhance product quality and business impact. Reviews and prepares data for analysis, ensuring quality and technical standards are met, and assists in developing datasets for machine learning applications, with guidance from senior team members. Implement prototypes of scalable systems in AI applications Designs and utilizes machine learning pipelines for data preparation, and applies advanced algorithms to enhance business solutions, while independently running statistical analyses to validate model assumptions. Contributes to the training and deployment of scalable AI solutions, develops new machine learning improvements, and supports the application of intelligence in real product environments, leveraging large-scale computing frameworks for model enhancement. | |