About the Company
NCSOFT is a premier global game developer and publisher with locations in Seoul, Korea (HQ), the US, the UK, China, Japan, Taiwan, and Vietnam. NC established its AI and NLP Centers moving beyond the tech applicable to games to cover various original AI tech for cross-genre industries. AI researchers in NC are developing AI source technologies with the goal of delivering products and services that are more fun, easier to use, and more valuable to customers.
About the Opportunity
NCSOFT is seeking MIT students with interest in game development, AI, speech recognition, computer vision, or NLP to work in its five AI labs or its business team:
- Game AI Lab: Focusing on game AI to assist game development, from assisting programming and game design to assisting art creation. Related topics: reinforcement learning, simulation, machine learning-based computer graphics, etc.
- Speech AI Lab: Focusing on human-level speech recognition and natural conversational speech synthesis. Related topics: speaker identification/validation, speech/emotion recognition, conversational/emotional TTS, acoustic signal processing, etc.
- Vision AI Lab: Focusing on computer vision to assist game development and video content generation. Related topics: GAN, image translation, OCR, human segmentation, human pose estimation, video retrieval, video captioning, etc.
- Knowledge AI Lab: Focusing on knowledge acquisition and utilization. Related topics: knowledge construction, knowledge discovery, summarization, reasoning, curation, recommendation, etc.
- Language AI Lab: Focusing on NLP technologies relevant to communications. Related topics: information extraction, question & answering, dialogue & affective chatting, multi-document summarization, narrative generation, etc.
- Platform Business Center: Focusing on expanding into global markets with diversified platforms and various genres, leading the launching, marketing and operation of NC’s global business by exploring new opportunities and business.
CS/data-related interns may be involved in one or more of the following as well as other tasks with mentors:
- Read research papers and discuss key ideas with colleagues
- Implement new algorithms (including debug and test)
- Perform machine learning experiments and analyze results
- Develop tools, APIs, web-based demos
Potential CS/data-related internship projects may include but are not limited to the following:
- Implement, test, and evaluate different methods for sentiment analysis
- Automatic puzzle map generation, automatic balancing tool for card collectable game (CCG)
- Automatic error correction for speech recognition, singing voice conversion
- Human/background segmentation, automatic game character generation from real photo
- Research on explainable AI (XAI), recommendation algorithm based on reinforcement learning
- Bert-based natural language understanding, deep learning-based document summarization
Potential business-related internship projects may include but are not limited to the following:
- Cross Platform Business: Establish a launching strategy for the cross-play experience on PC, mobile, and console without any boundaries using our global gaming platform PURPLE.
- Partnership Business: Plan and participate in early access program/pilot program of partners and support to apply in advance.
- Marketing: Plan and execute marketing strategies for new PC/console/mobile titles.
Internships of 3-6 months are available throughout the year. In addition to funding for all basic internship expenses (airfare, housing, and living costs), interns are provided with a competitive monthly wage.
Class year: junior, senior, master’s, Ph.D.
Course: Electrical Science & Engineering (6-1), Electrical Engineering & Computer Science (6-2), Computer Science & Engineering (6-3), Computer Science, Economics & Data Science (6-14), Brain & Cognitive Sciences (9), Economics (14), Management (15), Business Analytics (15-2), Finance (15-3), Mathematics (18), Mathematics with Computer Science (18C), Linguistics (24-2), Statistics and Data Science (IDSS).
Preferred skills (CS/data internships): Familiarity with machine learning frameworks (TensorFlow, PyTorch, or Keras); knowledge of machine learning via relevant coursework or experience.
Preferred skills (business internships): A passion for games, including MMORPG’s.
Applicants must meet MISTI MIT-Korea requirements prior to the internship start date:
- Undergraduate and graduate students must complete 4 semesters of Korean language courses or have similar proficiency.
- Completion of MIT-Korea pre-internship training, 10-15 total hrs.
- Minimum 4.0 GPA
The priority application deadline for summer internships is Nov. 30; applications are only accepted after that date if positions are still available. Submit applications for non-summer internships at least 3 months before desired start date.