크래프톤 홈페이지: https://krafton.com/

채용페이지: https://krafton.com/careers/jobs/

공고명 : [AI] Deep Learning Researcher - RL (3년 이상)

지원링크: https://grnh.se/3737683a2us

 

공고내용

우리 팀(프로젝트)을 소개합니다.

지난 2021년부터 크래프톤은 우리가 가진 게임 제작역량을 새롭게 확장할 수 있는 영역이자 새로운 도전을 지속할 분야로 딥러닝을 제시하고 해당 분야 연구에 집중하고 있으며, 본격화를 위하여 핵심 인재 영입 등 적극적인 투자를 진행하고 있습니다.

 

[Deep Learning 본부 비전]

크래프톤 Deep Learning 본부는 사내/외 여러 분야와 협업 하여 다양한 문제에 대한 AI 솔루션을 제공하며, 자체 딥러닝 기술 연구를 통해 우리만의 서비스를 개발합니다. 그 방향성은 크게 두가지입니다.

게임 제작에 도움이 될 수 있는 딥러닝 기술 개발을 통한 게임 제작 효율성 및 보편성 증대

딥러닝 기술 기반 Virtual Freind 개발 및 이를 게임 내/외적으로 다양한 어플리케이션으로 적용

 

[R&D]

Deep Learning 본부에서는 게임 제작 및 Virtual Friend 개발에 필요한 NLP, Vision & Animation, STT/TTS, RL 등의 딥러닝 기술을 연구 개발 중입니다. 또한, 이를 효과적으로 아우를 수 있는 초거대모델/경량화모델 및 각각의 요소 기술들을 자유롭게 조합하며 multimodal 모델 연구도 진행하고 있습니다.

 

[Culture Fit]

Deep Learning 본부 인원들은 본인 분야에만 묶여있지 않고 서로 다른 프로젝트 팀원들과 교류 및 협업하여 다양한 문제에 창의적인 아이디어를 제시 할 수 있습니다. 다양한 문화적 배경을 가진 인원들이 모여 팀을 이루고 있으며 활발한 소통을 위해 언어적 장벽을 해소해줄 수 있는 방법들을 적극 지원하고 있습니다.

 

 

 

Since 2021, Krafton has been presenting and researching deep learning as an area where we will continue to make new challenges and expand our new game production capabilities. To gain momentum, we are making active investments through recruiting essential talent.

 

[Vision of the Deep Learning Division]

Krafton’s Deep Learning Division, based on AI research, aims to develop our own unique services while collaborating with in-house and external teams of various domains to provide AI solutions that can solve a variety of problems. Our two main goals are as follows:

Improve game production efficiency and universality by developing deep learning technologies useful for game production

Develop a virtual friend and apply it to diverse areas inside/outside our games using deep learning  technology

 

[R&D]

The Deep Learning Division engages in deep learning R&D of technologies necessary for game production and virtual friend development, such as NLP, Vision & Animation, STT/TTS, and RL technologies. We are also researching foundation or lightweight models that can effectively cover all areas, as well as multimodal models where each of these technologies can be freely combined.

 

[Culture Fit]

Members in the Deep Learning Division are not tied to their own tasks but are encouraged to actively communicate and collaborate with members from different projects to share creative ideas for various problems. We have members of various cultural backgrounds and are providing all the necessary support to lower any language barrier for active communication.

 

 

우리 팀과 함께할 미션을 소개합니다.

RL 영역에서 산업과 리서치의 gap을 메우기 위한 새로운 접근법 탐구

상기 업무에 대한 논문을 저술하여 해외 학회/학술지에 제출

게임 개발자와 협업하여 게임 AI 관련 조언 및 개발

- 인게임 혹은 게임 제작 과정에 접목 가능한 AI 기술 연구 및 컨설팅

- RL 기반 게임 및 인게임 피쳐 개발을 위한 선행 연구

프로덕트 팀, 마케팅 팀, 컨텐츠 매니저, AI 리서쳐, 외부 파트너사 등 주요 사내/사외 관계자들과 문제 해결을 위해 협업

 

 

Explore new RL approaches to narrow the gap between industry and research

Wrap up above by writing a paper and submitting it to international conference/journal

Through collaborating with game developers, develop tasks or provide advice on game AI 

- Research / provide consultation on AI technologies that can be applied to in-game or game production process 

- Research required to develop RP-based games or in-game features  

Collaborate with key internal and external stakeholders such as product team members, marketers, content managers, AI researchers, and external partners to solve problems

 

이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건)

Computer Science/ Machine Learning / Artificial Intelligence 관련 전공 졸업자 혹은 이에 준하는 역량

최신 머신러닝 논문을 빠르게 습득하고 구현할 수 있으신 분

Python 및 PyTorch or TensorFlow 와 같은 딥러닝 프레임워크 사용이 가능하신 분

Reinforcement Learning(RL)에 대한 관심과 기본적인 지식이 있으신 분

영어를 구사하고 영어로 소통할 수 있으신 분

단독으로, 또 팀 구성원으로 일할 수 있으신 분

머신러닝, 딥러닝 관련 프로젝트를 경험한 적 있으신 분

논문 저술 / 학회 발표 경험이 있으신 분

 

 

Those with a degree in computer science/machine learning/artificial intelligence, or those with equivalent experience

Those who quickly understand and implement the latest machine learning papers

Those who can write Python and use deep learning frameworks such as PyTorch or TensorFlow

Those who have basic knowledge of RL / those who are interested in Reinforcement Learning(RL)

Those who can speak and communicate in English

Those who can work independently and in teams

Those who have experiences in machine learning or deep learning projects

Those who have experiences on writing a paper / conference presentation

 

이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건)

딥러닝 또는 여타 머신러닝 분야 프로젝트 경험자

머신러닝/인공지능 관련 저널/학회 논문 저자 (NeurIPS, ICML, ICLR 등 탑티어 학회 경력 우대)

게임 도메인에서 RL 적용 경험자

국내/외 인공지능 경진대회 수상 경력(Kaggle 등)

 

 

Work experience in deep learning or other machine learning projects

Experience in publishing papers in the field of machine learning/artificial intelligence (publication in renowned journals/conferences such as NeurIPS, ICML, ICLR is preferred)

Experience in applying RL to game domain

Domestic/International artificial intelligence competition awards (Kaggle, etc.)

 

 

크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다.

서류 전형 > 전화 인터뷰 (Phone Interview) > 직무 테스트 (Technical Fit Test) > 실무 면접 (Technical Fit Interview) > 최종 면접 (Culture Fit Interview) > 합격 및 입사

상시채용으로 우수 인재 채용 시 조기에 마감될 수 있습니다.

전형별 합격자에 대해 지원서에 등록하신 이메일 혹은 유선으로 개별 안내 드립니다.

전화 인터뷰의 경우, 필수 전형이 아닌 필요에 따라 진행되는 선택 전형임을 사전 안내 드립니다. 이에 대한 상세 내용은 개별 안내 드립니다.

필요 시 면접은 추가될 수 있으며, 이에 대한 상세 내용은 개별 안내 드립니다.

 

필요 서류를 확인해주세요!

입사지원서 (자유 양식), 경력기술서, 포트폴리오(선택)

신입일 경우 자기소개서를, 경력일 경우 경력기술서를 중심으로 기술해 주시기 바랍니다.

포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다.

 

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