[AI Research Div.] '25 New Professional Research Personnel - Applied DL Research Engineer (Experience Irrelevant)

Krafton

Job Summary

KRAFTON is dedicated to identifying and publishing games worldwide that offer a uniquely enjoyable experience, crafted by our globally recognized production studios known for their distinctive creativity. We continuously push the boundaries of gaming enjoyment by embracing new challenges and technologies, expanding our platforms and services to captivate an even larger fan base. In collaboration with our passionate and driven team, we strive to establish ourselves as a renowned creator of masterpieces in the global gaming market. The AI Research Division seeks an Applied DL Research Engineer to develop deep learning technologies for game production efficiency and user-interactive agents, focusing on Multi-modal LLM, Voice Synthesis, Vision & Animation models, and data quality improvement.

Must Have

  • Eligible to join as a professional research personnel in '25 (Master's degree or higher, or completion of integrated master's/doctoral program)
  • Master's/Ph.D. in deep learning related field or equivalent research experience
  • Ability to lead research, quickly understand deep learning papers, and design experiments
  • Development or project experience related to latest deep learning models such as Transformer, Diffusion
  • Ability to quickly adapt to new domains
  • Smooth work communication skills

Good to Have

  • Experience writing papers for top-tier AI/ML conferences (NeurIPS, ICLR, ICML, etc.) or top-tier journals in related fields
  • Excellent research achievements related to Multi-modal LLM, Data-centric AI, Agentic AI, Time-series analysis, STT/TTS
  • Experience with large-scale data improvement pipelines for Multi-modal LLM training

Job Description

※ This announcement is for new professional research personnel in '25. Please note that if the conditions are not met, you will be notified of disqualification.

More information about the AI Research Division can be found on the KRAFTON AI Research Division homepage (click the image below) and KRAFTON AI Research Division introduction video.

(Shortcut: KRAFTON AI)

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 broadly twofold:

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

[AI Research R&D]

In the AI Research Division, we are researching and developing deep learning models such as Multi-modal Language Model, Voice Synthesis, Vision & Animation necessary for the above vision. In addition, we are conducting research on improving data quality, which is the most important source for effectively training these models, as a key task.

[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. We have a team composed of individuals from diverse cultural backgrounds and actively support methods to overcome language barriers, such as translation and interpretation, for active communication.

Introducing the mission you will undertake with our team.

[AI Applied Research Engineer]

The tasks of an AI Applied Research Engineer are as follows:

  • R&D for data quality improvement and application of evaluation benchmarks for Multi-modal LLM / game agent training.
  • Applied R&D to explore and improve the performance of the LLM agent framework in various games/environments.
  • Real-time/High-quality speech synthesis model R&D.
  • R&D for anomaly detection using tabular data.
  • R&D for classification models using video data.

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

  • Eligible to join as a professional research personnel in '25 (new enrollment) (Master's degree or higher, or completion of integrated master's/doctoral program).
  • Master's/Ph.D. in a deep learning-related field or equivalent research experience.
  • Ability to lead research, quickly understand deep learning papers, and design experiments.
  • Development or project experience related to the latest deep learning models such as Transformer, Diffusion.
  • Ability to quickly adapt to new domains.
  • Smooth work communication skills.

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

  • Experience writing papers for top-tier AI/ML conferences (NeurIPS, ICLR, ICML, etc.) or top-tier journals in related fields.
  • Excellent research achievements related to Multi-modal LLM, Data-centric AI, Agentic AI, Time-series analysis, STT/TTS.
  • Experience with large-scale data improvement pipelines for Multi-modal LLM training.

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 procedure may vary depending on the position and candidate.

  • Details of each stage will be provided individually.
  • If necessary, additional job tests or interview stages may be added, and details will be provided individually.
  • The results of the selection process will be sent to the email address provided in the application within 2 weeks, and if there is a delay due to internal schedule, you will be notified separately.
  • This announcement is for rolling recruitment and may close early if excellent talent is hired.

Please check the required documents!

  • Application form (CV format/guidelines), 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 West Tower

Employment Type

  • Full-time

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 permanent employment based on the evaluation results during the probationary period, and may terminate the probationary period early and refuse permanent employment based on mid-term evaluation results even during the probationary period. There will be no changes 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?

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@kraftton.com for other inquiries

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

4 Skills Required For This Role

Communication Talent Acquisition Game Texts Deep Learning

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