Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Research Intern - Computer Vision and Deep Learning at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Computer Vision, Augmented Reality, Video Processing, Gesture Recognition, User Experience, Artificial Intelligence

Industry

Software Development

Description

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. If you are interested in cutting edge machine learning (ML), video and graphics and want to make the experiences of millions of personal computer (PC) users and developers more productive and enjoyable, please join us at Microsoft Applied Sciences Group. We are working all ways that ML and artificial intelligence (AI) can improve Windows user experience: capture better videos, enable augmented reality (AR) features for tele-conferencing and understand user’s gestures and environments. Are you itching to play a part in bringing applications of computer vision to millions? 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.

Responsibilities

The intern will work on applying machine learning and artificial intelligence to enhance the Windows user experience. This includes improving video capture, enabling augmented reality features, and understanding user gestures and environments.