FAQs
What is the duration of the AI Research Intern position?
The length of the internship is 12-14 weeks.
What degree programs are eligible for this internship?
Students enrolled in a PhD degree program in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Computational Linguistics, or a related field are eligible.
What kind of experience is required for applicants?
Applicants must have experience in one area of AI, such as knowledge representation and learning, language agents, alignment, reinforcement learning, or multimodal generative AI.
Is there a requirement for publications?
Yes, an established track record of publication, ideally with first author publications in top-tier AI conferences (e.g., NeurIPS, ICML, ACL, AAAI, EMNLP, AISTATS, KDD) is required.
What programming skills are necessary for the internship?
Experience with developing and debugging in Python, using frameworks such as Tensorflow or Pytorch, is required.
Is English proficiency important for this role?
Yes, experience in disseminating scientific work in English through paper submissions and conference presentations is required.
What kind of team will the intern be working with?
The intern will join a high-caliber team of research scientists, domain experts, data scientists, and machine learning engineers.
What are some of the areas of exploration for this internship?
Current areas of exploration include robust and trustworthy LLMs, neuro-symbolic methods for generative AI, knowledge representation and learning, and language agents for enterprise systems.
Is this position suitable for undergraduate students?
No, this position is intended for students in a PhD degree-seeking program, who will return to their program after the internship.