About the job
직무소개
- We are seeking a hands-on LLM Engineer to help develop a specialized large language model for the biomedical domain
- As a pharmaceutical company advancing drug discovery and life sciences research, we aim to build LLM capabilities that directly support scientific discovery
- These capabilities will support the understanding of biomedical literature and biological data and help accelerate the drug discovery pipeline
- In this role, the successful candidate will drive large-scale model training, ensure its stability and efficiency, and establish a reproducible, maintainable training process
- The position offers the opportunity to build specialized LLM development into a durable in-house capability at the intersection of AI and life sciences
담당업무 및 역할
- Drive and monitor large-scale LLM training in a multi-GPU environment for a specialized biomedical model
- Take ownership of the training codebase and pipeline — understanding it in depth, operating it, and extending it as the project evolves
- Collaborate with external LLM vendors and technology partners to align on training approaches, tools, and workflows
- Diagnose and resolve training failures, instability, and performance bottlenecks
- Improve training throughput, memory efficiency, and overall job stability
- Support model evaluation throughout training, including domain-specific benchmarks relevant to drug discovery and life sciences
- Maintain well-organized experiments, checkpoints, and technical documentation to ensure reproducibility
- Collaborate with internal scientific and data teams to prepare training data, configurations, and workflows
- Establish a reliable, repeatable workflow for future model updates and scaling
Who We're Looking For
지원자격
- Education : Bachelor's degree or higher
- Major : Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
- Experience : 8-18 years of relevant industry experience in machine learning, large language models, or AI systems
- Hands-on experience training or fine-tuning large language models
- Strong proficiency in Python and PyTorch
- Experience with distributed and multi-GPU training
- Ability to debug effectively using logs, metrics, and experiment outputs
- Solid understanding of training stability and performance optimization
Preferred Qualifications
우대사항
- Experience applying AI or machine learning in biotech, pharmaceutical, or life sciences settings
- Familiarity with biomedical data, scientific literature, or domain-specific language models
- Experience with GPU cluster environments or Slurm
- Experience with LLM serving, inference optimization, or quantization
- Experience with evaluation frameworks or benchmark testing
- Experience collaborating with external vendors or technology partners
Recruiting Process
전형절차
서류전형 > 필기전형(SKCT) > 면접전형 > 채용검진/처우협의 > 최종합격
- 전형절차/일정은 상황에 따라 변동될 수 있으며, 전형 결과에 따라 추가 절차(인터뷰 등)가 진행될 수 있습니다.
- 채용 과정 중 필요 시, 지원자의 경력 및 평판 확인을 위해 레퍼런스 체크가 진행될 수 있습니다.
Please Read Before Applying
근무지
- 경기도 판교
기타사항
- 국가 보훈 대상자 및 장애인은 관련법에 의거 우대합니다.
- 석,박사 학위 소지자의 경우 학사를 포함한 전체 학력 정보를 기입해 주시기 바랍니다.
- Search Firm과 SK Careers 포털 간 중복 지원은 불가합니다.
- 당사 채용 공고 및 SK그룹 계열사 채용 공고 간 중복 지원은 불가합니다.
- 병역필 또는 면제자로서 해외 여행에 결격 사유가 없는 분에 한하여 지원이 가능합니다.
LLM Engineer 구성원 영입
지원 기간
August 21, 2026(Fri)~September 06, 2026(Sun)
마감 시간
23:59
회사
SK biopharmaceuticals
직무
기타
구분
Experienced
지역
Gyeonggi/Incheon - 판교
유형
Permanent