Microsoft Research Intern - Societally Safe Secure AI 

United States, Washington 

956562917

We identify opportunities to make existing systems robust against the misuse of AI technologies and develop core theoretical principles and technical implementations for models that are safe when deployed at population scales. We also explore methods that facilitate self-determination, giving people a voice in the models they use.

• Currently enrolled in a PhD program in Computer Science, Statistics, Social Science, or related field.

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.

• Preference for candidates with prior experience conducting research in Global South and other non-US contexts, as well as for applicants who have conducted multilingual research.
• Should have completed coursework in social scientific methods and have previous experience conducting computational social science research.
• Expertise in a statistical programming language, e.g., R or Python.
• At least one year of professional experience in a civil society or policy role.

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

Research Interns will contribute to the theoretical and technical advances needed to ensure that societally safe and secure models can succeed in global marketplaces. Potential research projects include identifying opportunities to make existing information and communications systems more robust to the misuse of AI technologies; establishing theoretical principles for societally safe and secure models and converting these theoretical principles into technical implementations; and exploring positive applications such as the potential of AI tools to improve facilitation and sensemaking processes.