PearlAbyss

Black Desert PC China Operation Manager

Game Planner

Taiwan Marketing Manager (Pearl Abyss Subsidiary)

Black Desert Mobile Global Business Team Member

Summer Internship: Service Business_Service Design (Web Planning)

Summer Internship: Service Business Development

Summer Internship: Service Business_Operations/CS/PM

Summer Internship: Game Design (Game Planning)

Summer Internship: Art_Shader/Procedural Modeling

This is a full-time position for a Black Desert PC Chinese Operation Manager at Pearl Abyss's headquarters in Gwacheon, Gyeonggi-do, South Korea. Responsibilities include live operation risk checking and management, addressing in-game issues, monitoring game trends, creating user announcements, handling live issues and outages, planning and executing live events, collaborating with publishers and other departments, and providing feedback.  Candidates must be native-level Chinese speakers with extensive PC MMORPG experience and strong communication and problem-solving skills.  The ideal candidate will possess a proactive attitude, a dedication to user satisfaction, and the ability to work effectively in a fast-paced environment.

Summer Internship: Art_Animation

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&nbsp;
담당업무
<ul>
<li>라이브 운영 리스크 체크 및 관리</li>
<li>게임 내 불편사항 확인 및 처리 방향 수립</li>
<li>게임 내 외 동향 파악 및 개선 반영 진행</li>
<li>유저 대상 공지 및 안내 사항 작성 업무</li>
<li>각종 라이브 이슈 및 장애 대응</li>
<li>라이브 이벤트 기획/진행/피드백</li>
<li>퍼블리셔 및 유관 부서와 협업을 위한 커뮤니케이션</li>
</ul>
&nbsp;
<hr>
 필수 경험 및 역량
<ul>
<li>원어민 수준의 중국어 사용이 가능하신 분</li>
<li>하나의 게임을 오랜 시간 플레이한 경험이 있거나, PC MMORPG에 대한 이해도가 있으신 분</li>
<li>실시간으로 변화하는 라이브 서비스 환경 흐름에 맞춰 협업하실 수 있는 분</li>
<li>유저를 최우선으로 생각하는 서비스 마인드와 책임감 있는 직업의식을 갖추신 분</li>
<li>원만한 커뮤니케이션 능력을 보유하신 분</li>
<li>업무에 대한 적극성을 갖고 새로운 배움에 주저함이 없으신 분</li>
<li>해외 출장 결격 사유 없으신 분</li>
</ul>
 <hr>
 우대사항 
<ul>
<li>검은사막 전투력 또는 공헌도와 기운이 높은 모험가</li>
<li>더 좋은 결과를 위해 끊임없는 고민과 실행이 몸에 배어있는 분</li>
<li>작은 불씨 하나라도 대수롭게 여기지 않는 민감함을 가지신 분</li>
</ul>
&nbsp;
<hr>
 근무정보 
<ul>
<li>근무형태 : 정규직 (수습 3개월)</li>
<li>모집인원 : O명</li>
<li>근무지 : 펄어비스 홈 원 (경기도 과천시 과천대로2길 48)</li>
</ul>
 <hr> 지원 관련 정보 
<ul>
<li>모집기간 : 채용 완료 시 마감 → 채용이 완료되면 공고 마감일이 도래하지 않더라도 일찍 마감될 수 있는 수시 채용 공고입니다.</li>
<li>※ 국가보훈대상자 또는 장애인은 관련 법규에 의거 우대합니다. </li>
</ul>
 <hr>
 &nbsp; 채용 절차 &nbsp;&nbsp;
<ul>
<li>각 전형 결과 및 일정은 개별로 안내드립니다.</li>
<li>경우에 따라 전형이 추가/변경될 수 있습니다. (필요시 별도 안내) </li>
</ul>
<hr> 유의사항 
<ul>
<li>최근 3개월 이내 펄어비스에 지원하신 이력이 있다면 해당 공고에는 지원이 불가합니다.&nbsp; 지원일로부터 3개월 이후 또는 인재풀로 지원해 주시기 바랍니다.&nbsp;</li>
<li>상기 일정은 당사 상황에 따라 일부 변동될 수 있습니다.</li>
<li>입사지원서 내용 및 제출서류가 허위로 판명되면 합격 및 채용이 취소될 수 있습니다.</li>
<li>상기 채용 건에 대해 궁금한 부분이 있으신 경우, 카카오톡 채널(@펄어비스채용)로 문의 부탁드립니다.</li>
</ul>
 <hr> 복리후생 제도 
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As a Machine Learning Engineer, you will build systems for training and deploying large-scale ML models. You'll collaborate with researchers and engineers to build solutions that maximize GPU acceleration and distributed computing. Your work will influence trading strategies by accelerating experimentation. The role involves developing distributed training pipelines, optimizing low-latency inference pipelines, improving the performance of machine learning frameworks, designing scalable model frameworks, automating ML experiments, collaborating with HPC specialists, and evaluating third-party tools. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading.

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<div>As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement. This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC’s technology and trading capabilities. Your Core Responsibilities:&nbsp; <ul> <li>Develop large-scale distributed training pipelines to manage datasets and complex models</li> <li>Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems</li> <li>Develop libraries to improve the performance of machine learning frameworks</li> <li>Maximize performance in training and inference using GPU hardware and acceleration libraries</li> <li>Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions</li> <li>Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining</li> <li>Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs</li> <li>Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities</li> <li>Dig into the internals of open-source ML tools to extend their capabilities and improve performance</li> </ul> Your Skills and Experience:&nbsp; <ul> <li>5+ years of experience in machine learning with a focus on training or inference systems</li> <li>Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus</li> <li>Strong engineering skills, including Python, CUDA, or C++</li> <li>Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX</li> <li>Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)</li> <li>Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)</li> <li>Exposure to cloud platforms and orchestration tools</li> <li>A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus</li> </ul></div>

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