FAQs
What are the primary responsibilities of the Research Scientist Intern in Responsible AI at Meta?
The primary responsibilities include conducting independent research on the practical impacts of generative AI models, publishing state-of-the-art research papers focusing on fairness and reliability, collaborating with researchers and cross-functional teams, and producing open source code with reproducible results.
What qualifications are required to apply for this internship?
Candidates must currently have or be in the process of obtaining a PhD degree in a relevant technical field, obtain work authorization in the country of employment, and have experience with Python, PyTorch, and modern frameworks for training and evaluating large-scale generative models.
Are there any preferred qualifications for this internship role?
Yes, preferred qualifications include intent to return to a degree program post-internship, a proven track record of significant results through grants or publications, self-driven motivation in solving complex problems, software engineering experience, and interest in interdisciplinary research.
How long does the internship typically last?
The internship typically lasts between twelve (12) to twenty-four (24) weeks.
What are the opportunities for publication during the internship?
Interns are encouraged to publish state-of-the-art research papers in responsible AI, focusing on developing fair, inclusive, and reliable AI systems.
Is prior experience required for this internship?
While prior experience is not strictly required, experience in relevant areas such as machine learning or software engineering, and a history of publishing research can enhance a candidate's application.
Will interns have the opportunity to collaborate with others during their internship?
Yes, interns will collaborate with other researchers and cross-functional partners, sharing research plans, progress, and results.
What type of work authorization is needed for this internship?
Candidates must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during their employment.
What kinds of projects might an intern work on during the internship?
Interns may work on projects related to benchmarking, empirical evaluations, and theoretical contributions regarding generative AI models and their social impacts.
Is there a focus on open source contributions in this internship?
Yes, interns are expected to produce and open source high-quality code and reproducible results for the community.