Microsoft Applied Sciences Group is looking for a computer vision Research Intern with expertise in deep learning techniques to help their devices compute better understanding of the user and the environment. The ability to analyze multimodal sensor data and interpret various human and human-object interactions is key to Applied Sciences' mission of enabling a seamless set of human computer interactions.
Requirements
- Currently enrolled in a master's program or Ph.D. in computer vision or closely related fields.
- 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.
Responsibilities
- Research Interns put inquiry and theory into practice.
- Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community.
- The ability to analyze multimodal sensor data and interpret various human and human-object interactions is key to Applied Sciences' mission of enabling a seamless set of human computer interactions.
- As part of this team, you will be working with a growing team of talented researchers already dedicated to this mission and use data and hardware only available to a select few.
- Naturally, the opportunity for you to push the state of the art in this field is huge.
Other
- Research Interns are expected to be physically located in their manager’s Microsoft worksite location for the duration of their internship.
- In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples.
- Microsoft is an equal opportunity employer.
- Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
- If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
