Research Intern - Machine Learning - Microsoft Research

Microsoft

Apr 5

Applications are closed

Internship
Full-time
Off-cycle Internship
Data
Redmond

Requirements

Required Qualifications:
Currently enrolled in a PhD program with relevant major (e.g., Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing).
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.
As part of your application please upload:
A recent resume.
References - Please submit a minimum of two reference letters for this position.
Preferred Qualifications:
Experience publishing academic papers as a lead author or essential contributor.
Experience participating in a top conference in relevant research domain.
Demonstrated ability to develop original research agendas.
Ability to work in a collaborative environment with multi-disciplinary teams. Active participation in the scientific community.
Well-established research record of publications in top-tier journals/conferences.
Has conducted research in one of the following research areas: reliability & robustness of AI systems, rigorous evaluation and benchmarking, advances in AI interpretability, bias and fairness, and safety in real-world deployments.
A proven publication record in top-tier conferences, who has demonstrated the ability to develop original research and perform hands-on research.
Team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.
Hands-on experience with popular machine learning frameworks (e.g. pytorch, tensorflow, scikit-learn) and cloud platforms.
Experience with training and evaluating machine learning models for Natural Language Processing (NLP), Vision, and Multimodal tasks. Experience with one data type is sufficient but candidates should be open to collaborating in projects that study a variety or a combination of modalities.

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.
Execute research directions that are at the forefront of innovation in AI.
Create synergies on joint, high-impact projects in collaboration with other researchers, engineers, and product group partners.
Work closely with other researchers in the teams on a research problem.

Microsoft

Technology

Industry

10,001+

Employees

1975

Founded Year

Mission & Purpose

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. When we show up, we achieve more together. Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.