FAQs
What is the duration of the internship for the Research Scientist Intern position?
The internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long.
What kind of research will the intern be involved in?
The intern will perform state of the art research to advance the science and technology of machine learning systems and contribute to innovations in scalable machine learning systems, among other areas.
What qualifications are required for this internship?
The minimum qualifications include experience with Python, C++, C, Lua or other related languages and proficiency with the PyTorch framework.
Is there an opportunity for publication during the internship?
Yes, interns are encouraged to publish research results and contribute to research that impacts Meta product development.
What are preferred qualifications for applicants?
Preferred qualifications include a proven track record of significant results in research, experience with scalable machine learning systems, and experience working and communicating cross-functionally in a team environment.
Can international students apply for this internship?
Yes, but applicants must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
What is the compensation range for this internship?
The compensation ranges from $7,800/month to $11,293/month, based on skills, qualifications, experience, and location.
What types of projects may the intern work on?
The intern may work on projects involving deep learning, computer vision, audio and speech processing, natural language processing, and machine learning system design and optimization.
Are there any specific programming languages or tools the intern should be familiar with?
Yes, familiarity with Python, C++, C, Lua, and the PyTorch framework is required.
What kind of work environment can interns expect at Meta?
Interns can expect a collaborative work environment, working with researchers and cross-functional partners, and opportunities to make an impact through their research.