In Analog, people—not devices—are at the center of everything we do. Our tech moves beyond
screens and pixels, creating a new reality aimed at bringing us closer together—whether that’s
colleagues brainstorming around a giant digital whiteboard, scientists “meeting” on the surface of a
virtual Mars, or some yet undreamt-of possibility. To get there, we’re incorporating diverse
groundbreaking technologies, from the revolutionary Holographic Processing Unit to computer vision,
machine learning, human-computer interaction, and more. We’re a growing team of talented
engineers and artists putting technology on a human path across all Windows devices, including
Microsoft HoloLens, the Internet of Things, phones, tablets, desktops, Xbox, and Surface Hub. We
believe there has to be a better way. If you do too, we need you!

We’re looking for a scientist to join our research team. You’ll be part of a group that uses the latest
engineering practices, works on cutting-edge technologies, and faces complex problems that range
from client/server networking and audio/speech processing to computer vision and machine learning.

What you’ll need:
* The ability to address issues ranging from fundamental algorithm
development/implementation/optimization to delivering product outcomes.
* The ability to serve as a technical leader while making significant individual contributions. (No
managerial experience required)
* A degree in Computer Vision, Machine Learning, Audio/Speech Processing, or related technical field. (PhD preferred)

Basic Qualification:
* 2+ years of research and development experience in computer vision and audio/speech

There are plenty of other skills that aren’t required, but you'll find useful in this role. Let us know if you
have industry experience, an academic and/or corporate research background, or experience with
embedded platforms.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for
employment without regard to race, color, gender, sexual orientation, gender identity or expression,
religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.