AI Research Div. Deep Learning Engineer - ML (1-3 years / Intern)

KRAFTON is a global game publisher known for its distinctive creativity and enjoyable games. This role is for a Deep Learning Engineer in the AI Research Division, focusing on developing AI solutions for various problems, including enhancing game production efficiency and creating CPC/LLM agents for user interaction. The team works on projects like PUBG anti-cheat and MMR renewal, fostering a creative and open communication environment.

Must Have

• Utilize tabular ML and time series deep learning models.
• Detect hack users using VLM.
• Improve MMR system with statistical (ELO) methodologies.
• Utilize multi-input, multi-output deep learning models.
• Graduates in CS/ML/AI or equivalent.
• Proficient in PyTorch/TensorFlow.
• Experience improving deep learning/ML model performance.
• Proficient in data analysis using SQL/Spark/Pandas.

Good to Have

• Extensive experience with tabular data.
• Proficient in cloud-based data analysis platforms (AWS, Azure, Databricks, etc.).
• Rich background in statistics.
• Ability to quickly learn and implement the latest deep learning papers.
• Author of ML/AI journal/conference papers (top-tier conference experience like NeurIPS, ICML, ICLR preferred).
• Award-winning experience in domestic/international AI competitions (Kaggle, etc.).
• Experience in deep learning model serving and MLOps pipeline development.

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 independent deep learning technology research. The direction is largely twofold:

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

[AI Research R&D]

The AI Research Division is currently working on various projects necessary for the above vision.

• PUBG anti-cheat project
• PUBG VLM anti-cheat project
• MMR renewal project
• Real-time win probability prediction project

[Culture Fit]

Members of the AI Research Division can interact and collaborate with team members from various fields through diverse projects, and propose creative ideas for various problems. An atmosphere that encourages free expression of opinions regardless of age or position is fostered.

Teams are formed by individuals from diverse cultural backgrounds, and methods to resolve language barriers such as interpretation and translation are actively supported for active communication.

Introducing the mission you'll undertake with our team

Those who newly join the team will lead the following modeling-centric research/development:

• Utilize tabular machine learning models and time series deep learning models.
• Detect hack users using VLM.
• Improve the MMR system using statistical (ELO) methodologies.
• Utilize deep learning models with multi-input, multi-output structures.

We want to grow with someone who has this experience! (Required qualifications)

• Graduates with a major in Computer Science/Machine Learning/Artificial Intelligence or equivalent capabilities.
• Proficient in using deep learning frameworks such as PyTorch/TensorFlow.
• Experience in significantly improving the performance of deep learning/ML models.
• Proficient in data analysis using SQL/Spark/Pandas.

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

• Extensive experience handling tabular data.
• Proficient in using cloud-based data analysis platforms (AWS, Azure, Databricks, etc.).
• Rich background knowledge related to statistics.
• Ability to quickly learn and implement the latest deep learning papers.
• Author of machine learning/AI related journal/conference papers (top-tier conference experience like NeurIPS, ICML, ICLR preferred).
• Award-winning experience in domestic/international AI competitions (Kaggle, etc.).
• Experience in deep learning model serving and MLOps pipeline development.

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The following selection process is required to join KRAFTON's challenge.

• Document Screening > Phone Interview > Pre-Test > Technical Fit Interview > Culture Fit Interview > Offer and Onboarding
• As this is an ongoing recruitment, it may close early if excellent candidates are hired.
• Successful candidates for each stage will be individually notified via the email or phone number registered in their application.
• Please note in advance that the phone interview is an optional stage conducted as needed, not a mandatory one. Detailed information will be provided individually.
• Additional interviews may be added if necessary, with detailed information provided individually.

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 candidates, focus on the career description.
• If attaching a portfolio, please check the information below.

Workplace

• Yeoksam Centerfield

Employment Type

• Intern (6 months)

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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. 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 KRAFTON Recruitment FAQ.

BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories?

• KRAFTON Production Studios
• KRAFTON Games
• KRAFTON Vision and Core Values
• KRAFTON Life & Welfare Benefits
• KRAFTON Official YouTube Channel
• BATTLEGROUNDS Official YouTube Channel
• KRAFTON Instagram
• KRAFTON Blog

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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

BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories?

• KRAFTON Production Studios
• KRAFTON Games
• KRAFTON Vision and Core Values
• KRAFTON Life & Welfare Benefits
• KRAFTON Youtube Channel
• BATTLEGROUNDS Youtube Channel
• KRAFTON Instagram
• KRAFTON Blog