Research Intern - Computer Vision and Deep Learning

Microsoft•Redmond, WA

7h•Onsite

About The Position

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.

Requirements

Currently enrolled in a master's program or Ph.D. in computer vision or closely related fields.
Be physically located in your manager’s Microsoft worksite location for the duration of your internship.
Submit a minimum of two reference letters, a cover letter, and any relevant work or research samples.

Nice To Haves

Demonstrated publication record in top-tier vision or ML conferences (CVPR, NeurIPS, ICML, ICCV, ECCV, AAAI, IJCAI, 3DV) and journals (IEEE/ACM Transactions, IJCV).
Comprehensive Deep Learning, algorithmic and software engineering background.
Experiences on self-supervised learning, mixture of experts, and/or applications to dense vision problems.

Responsibilities

Put inquiry and theory into practice.
Learn, collaborate, and network with fellow doctoral candidates and world-class researchers.
Advance personal careers and contribute to exciting research and development strides.
Collaborate with mentors, other Research Interns, and researchers during the 12-week internship.
Present findings.
Contribute to the vibrant life of the community.
Help devices compute a better understanding of the user and the environment using deep learning techniques.
Analyze multimodal sensor data and interpret various human and human-object interactions.
Work with a growing team of talented researchers dedicated to enabling seamless human-computer interactions.
Use data and hardware only available to a select few to push the state of the art in the field.