Research Intern - Robot Learning

Microsoft Corporation • Redmond, WA • 12h ago

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.

Microsoft Research is seeking research interns passionate about making robots a helpful part of everyday reality. As a member of our team and its collaborations, you will do ground-breaking research at the junction of sensing (tactile, force feedback), decision-making/learning (imitation learning, RL, learning from human feedback, planning), and large multimodal model training to enable robots to act and learn robustly in semi- and weakly structured environments.

Responsibilities

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, 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. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer.

Qualifications

Requiremented Qualifications

Currently enrolled in a PhD program in Computer Science or a related STEM field.

At least 1 year of research experience on a topic related to robot learning (RL, IL, VLM/VLA training, representation learning, etc, with experiments performed on a physical robot).

Other Requirements

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 above, you'll need to submit a minimum of two reference letters for this position. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred Qualifications

At least 1 publication on robot learning in a top-tier AI/ML or robotics venue (NeurIPS, ICML, ICLR, CVPR, CoRL, etc).

At least 1 robot learning-focused project open-sourced on GitHub.

The base pay range for this internship is USD $6,710 - $13,270 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,760 - $14,360 per month.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay

Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar (September - April).

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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .

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