Moloco
Machine Learning Engineer II, Infrastructure (머신러닝 엔지니어 II - 인프라)
Seoul, KoreaPosted 12 days ago
What you'd do
- Design and build large-scale ML training infrastructure supporting Moloco advertising models
- Optimize GPU cluster utilization and distributed training pipelines for production ML workloads
- Develop scalable data pipelines and feature engineering systems for real-time bidding models
What they want
- Strong software engineering background with experience building production ML infrastructure systems
- Proficiency in Python and distributed computing frameworks for ML training at scale
- Experience with GPU cluster management,distributed training,and ML model serving platforms
Nice to have
- Experience in ad-tech or real-time bidding systems with high-throughput ML serving requirements
- Background in MLOps tooling,experiment tracking,and model lifecycle management platforms