FAQs
What is the minimum duration of the internship for the NLP Research Intern position?
The internship requires availability of at least three days per week, subject to supervisor and university approval.
Is prior experience required for this role?
Yes, applicants should have at least one publication in a top-tier NLP/ML conference or journal.
What programming languages and libraries should I be familiar with for this internship?
Candidates should have hands-on experience with Python and deep learning libraries, particularly PyTorch, Hugging Face, and Transformers.
Are there specific areas of experience that are preferred for this position?
Yes, experience in areas such as supervised fine-tuning of large language models, LLM self-learning, LLM efficiency, LLM-based AI agents, or LLM applications in gaming, reasoning, or mathematical tasks is preferred.
What kind of projects will I be involved in as an intern?
Interns will drive and contribute to cutting-edge research projects in NLP/ML, develop benchmarks, train large language models, and publish research findings in leading conferences and journals.
Is there a possibility for publishing research findings during the internship?
Yes, interns are expected to publish research findings at leading NLP/ML/AI conferences and in top journals.
What qualifications are needed to apply for this internship?
Applicants should be currently pursuing a PhD in NLP, Machine Learning, or a related area, or have recently submitted their thesis.
Will I be working alone or as part of a team?
Interns will likely work as part of a team, contributing to collaborative research projects within the organization.
Where is LightSpeed Studios located?
LightSpeed Studios has teams in multiple countries, including China, the United States, Singapore, Canada, the United Kingdom, France, Japan, South Korea, New Zealand, and the United Arab Emirates.
How many games has LightSpeed Studios developed?
LightSpeed Studios has created over 50 games for more than 4 billion registered users since its founding in 2008.