FAQs
What is the duration of the Research Scientist Intern internship?
The internship lasts twelve (12) to twenty-four (24) weeks.
What educational qualifications are required for this internship?
Candidates must currently have or be in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or a relevant technical field.
What programming languages should applicants have experience in?
Applicants should have experience in C, C++, Python, Java, or other related programming languages.
Is there a preference for applicants to return to their degree program after the internship?
Yes, there is a preferred qualification that candidates intend to return to their degree program after completing the internship.
What research areas does the Monetization AI team focus on?
The team focuses on advancing generative AI, learning the semantics of various data modalities (images, video, text, audio), and developing better data-driven models of image and text generation.
What are some preferred qualifications for this position?
Preferred qualifications include a proven track record of significant results through grants, fellowships, patents, or publications at leading conferences, experience with Generative AI, and background in AI techniques in computer vision.
Is work authorization required for this internship?
Yes, candidates must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
Will interns have an opportunity to publish their research results?
Yes, interns are expected to publish research results and contribute to research applicable to Meta product development.
What kind of collaborations can interns expect to engage in during their internship?
Interns will collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results.
What kind of data will interns work with during this internship?
Interns will work with complex, large-scale, high-dimensionality data from varying sources, including but not limited to images, video, text, and audio.