Musinsa
Machine Learning Engineer (AdTech/MarTech)
Seoul, South KoreaPosted 16 days ago
What you'd do
- Design and operate recommendation and ranking models across Musinsa and 29CM ad placements
- Develop CTR/CVR prediction models and ad ranking and bidding optimization systems
- Build large-scale user behavior log-based ML feature pipelines and data processing structures
What they want
- 7 or more years of production experience in recommendation,ranking,or CTR/CVR prediction ML
- Strong ML and deep learning fundamentals with deep expertise in at least one of recommendation,ranking,NLP,or GNN
- Python-based large-scale data analysis and ML model development experience with SQL proficiency
Nice to have
- Experience developing ad optimization models including CTR/CVR/ROAS prediction and auto-bidding
- Experience operating production ML systems balancing model quality with serving cost and efficiency
- Experience with Kubernetes EKS,FastAPI model servers,or MLflow and KubeFlow MLOps tools