LLM Engineer 구성원 영입

职能机器学习

级别中级

地点Gyeonggi, South Korea

方式现场办公

类型경력 / 정규

发布今天

职位介绍

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

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 Py Torch
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

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

전형절차서류전형 > 필기전형(SKCT) > 면접전형 > 채용검진/처우협의 > 최종합격

근무지

기타사항

Application
period

August 21, 2026(Fri)~September 06, 2026(Sun)

Closing time

23:59

Company

SK biopharmaceuticals

Job

기타