Microsoft Research Intern - AI Frontiers Foundation Model Evaluation Understanding 

United States, Washington 

723050492

We seek Research Interns with demonstrated ability for technical work and a proven record of influential publications on Artificial Intelligence.

For this role you need keen interest in rigorous evaluation, understanding, and innovation on foundational models. Research areas of particular interest for this team include but are not limited to: Reliability & robustness of AI systems, rigorous evaluation and benchmarking, reasoning and planning in AI, advances in AI interpretability, bias and fairness, and safety in real-world deployments.

Our group takes a holistic approach to studying foundational models that includes a variety of data modalities (language, vision, multi-modal, and structured data) and modern model architectures.

• Currently enrolled in PhD program with relevant STEM major.
• At least 1 year of research experience in one of the following research areas: reliability & robustness of AI systems, rigorous evaluation and benchmarking, reasoning and planning in AI, advances in AI interpretability, bias and fairness, and safety in real-world deployments.

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 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. 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.

• 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.
• 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, 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.
• A team player who is interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Execute research directions that are at the forefront of innovation in AI on methods for understanding and evaluating large foundation models.
• 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.