Applied Scientist II and Senior Applied Scientists (Multiple Positions)-Microsoft Applied Sciences Group
 Microsoft | |
 United States, Washington, Redmond | |
 May 30, 2025 | |
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OverviewApplied Scientist II and Senior Applied Scientists (Multiple Positions)-Microsoft Applied Sciences Group From being able to log you in with face recognition, correct your gaze during a video chat to maintain eye contact, to the exciting possibilities in augmented reality, are you itching to play a part in bringing applications of machine learning to millions of users?The Microsoft Applied Sciences Group incubates disruptive technologies for Microsoft's next-gen hardware products and is working on several exciting projects that will shape how computers and other devices perceive the user and the user's environment. Operating as a startup within the company, this team works closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences will be powered by machine learning - and as part of this team, you will have the unique opportunity to work on almost every aspect of a shipping vision system: camera optics, sensors, data pipeline and of course, developing and implementing the algorithms that make magic happen!The team is growing, and we have an exciting opportunity for talented Applied Scientist II and Senior Applied Scientists (Multiple Positions) to drive and lead implementation of state-of-the-art AI algorithms for specific and general-purpose silicon on next generation devices and operating systems. This is a hands-on team lead task. You will have collaboration opportunities throughout the organization and will be building new stuff that really works and has millions of users. 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.
ResponsibilitiesOptimize, fine tune and transform models for edge device inferencing.Contribute to the technical design, architecture, development, and evaluation of DNN models.Collaborate with engineering and product development teams.Contribute to a real-time system involving multiple components.Assist in identifying and addressing issues in ML frameworks and associated hardware.Mentor junior engineers and contribute to team knowledge-sharing sessions. | |