AI Research Div. Deep Learning Research Engineer (TTS/STT) (Intern)

10 Minutes ago • All levels

Research Development

Job Description

KRAFTON is a global game publisher known for unique and enjoyable games from its production studios. The AI Research Division focuses on developing AI solutions for various internal and external fields, and proprietary deep learning technologies. This includes enhancing game production efficiency and developing CPC/LLM agents for user interaction. This specific project involves researching and developing STT/TTS models for various game and service environments, with a focus on real-time, high-quality, and multilingual models for natural AI agents.

Good To Have:

Experience applying TTS/STT technology to actual services
Author of machine learning/AI journal/conference papers (e.g., NeurIPS, ICML, ICLR)
Project experience with latest deep learning models like Transformer, diffusion model
Awards in domestic/international AI competitions (e.g., Kaggle)

Must Have:

Graduates in Computer Science/Machine Learning/Artificial Intelligence or equivalent capabilities
Ability to quickly learn and implement the latest machine learning papers
Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
Interest and basic knowledge in Speech Processing (STT/TTS)
Ability to work independently and as a team member
Experience in machine learning and deep learning related projects

Add these skills to join the top 1% applicants for this job

talent-acquisition

game-texts

pytorch

deep-learning

python

tensorflow

machine-learning

Introducing Our Team (Project)

[AI Research Division Vision]

KRAFTON AI Research Division collaborates with various internal and external fields to provide AI solutions for diverse problems, and develops our own services through proprietary deep learning technology research. The direction is largely twofold:

Increase game production efficiency and universality through the development of deep learning technology that can assist in game production.
Develop CPC/LLM Agents that can play games with users.

[Independent AI Foundation Model Project R&D]

We are researching and developing STT/TTS models that can be utilized in various game and service environments. In particular, we are focusing on developing Real-time / High-Quality models to implement natural AI agents capable of real-time interaction. The developed models are continuously being advanced and applied to various internal games and services.

Our main research goals are as follows:

Achieve Real-Time Latency
Develop STT/TTS models that can compete with Global SOTA models
Develop multilingual support models

[Culture Fit]

Members of the AI Research Division interact and collaborate with team members from various fields through diverse projects, proposing creative ideas for various problems. An atmosphere that encourages free expression of opinions regardless of age or position is fostered. The team is composed of individuals from diverse cultural backgrounds, and methods to overcome language barriers, such as interpretation and translation, are actively supported for lively communication.

Introducing the Mission We Will Accomplish Together

Collaborate with key internal/external stakeholders such as product teams, marketing teams, content managers, AI researchers, and external partners to solve problems.
Experiment with and research the latest deep learning technologies in various speech-related tasks.
Primarily develop the following modeling technologies based on machine learning/deep learning:
High quality expressive / emotional Speech Synthesis
Multilingual Speech Synthesis
On-device speech synthesis
On-device ASR

We want to grow with someone who has these experiences! (Required Qualifications)

Graduates in Computer Science/Machine Learning/Artificial Intelligence or equivalent capabilities.
Ability to quickly learn and implement the latest machine learning papers.
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
Interest and basic knowledge in Speech Processing (STT/TTS).
Ability to work independently and as a team member.
Experience in machine learning and deep learning related projects.

If you have these experiences, you are the one we are looking for! (Preferred Qualifications)

Experience applying TTS/STT technology to actual services.
Author of machine learning/artificial intelligence related journal/conference papers (e.g., NeurIPS, ICML, ICLR, etc. top-tier conference experience preferred).
Project experience with the latest deep learning models such as Transformer, diffusion model.
Awards in domestic/international AI competitions (e.g., Kaggle).

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To join KRAFTON's challenge, the following selection process is required:

Document Screening > Pre-Interview (Phone Interview) > *Job Test (Pre-Test) > Job Interview (Technical Fit Interview) > Comprehensive Interview (Culture Fit Interview) > Academic/Career, Reference Check > Compensation Negotiation > Final Offer and Onboarding
This process may vary depending on the position.
Details of each stage will be individually notified.
If necessary, additional job tests or interview stages may be added, and details will be individually notified.
Selection results will be sent to the email address provided in the application within 2 weeks; if there is a delay due to internal scheduling, separate notification will be provided.
This announcement is for ongoing recruitment and may close early if excellent candidates are hired.

Please check the required documents!

Application form (CV format / guideline), self-introduction, career description, portfolio (required)
For new graduates, please focus on the self-introduction; for experienced professionals, please focus on the career description.
When attaching a portfolio, please check the information below.

Workplace

Yeoksam Centerfield

Employment Type

Intern (6 months, not eligible for conversion to regular employee)

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Please check the information below!

Persons with disabilities and national merit recipients are given preferential treatment in accordance with relevant laws.
If there are false statements in your application, your acceptance may be canceled.
A 5-month probationary period applies. The company may refuse full employment based on the evaluation results during the probationary period, and may terminate the probationary period early and refuse full employment based on mid-term evaluation results even during the probationary period. There will be no adjustment in employment type or salary during the probationary period.
For questions during the recruitment process, please refer to the KRAFTON Recruitment FAQ.

BE BOLD, LEARN AND WIN! Would you like to learn about KRAFTON's growth and challenge story?

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Please check the information below

Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws
False statements in your resume may lead to the withdrawal of the employment offer
A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period.
Please contact career@krafton.com for other inquiries