Musinsa
Machine Learning Engineer (AdTech/MarTech)
Seoul, South KoreaPosted 2 months ago
Market pay check
Matched to Computer systems and software professionals
Source: Ministry of Employment and Labor wage information system (wage.go.kr), wage distribution by occupation.
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
Advertisement
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
Seoulstart's read
- Visa tier (likely)
- No sponsorship typically needed
- Korean language
Related Seoulstart guides
Similar roles on Seoulstart
Sr. Staff, Machine Learning Engineer (Search & Discovery)Coupang · Seoul, South Korea · 1 day ago
Staff, Machine Learning Engineer (Search & Discovery)Coupang · Seoul, South Korea · 1 day ago
Principal Machine Learning EngineerBjak · Seoul, Seoul, South Korea · 4 days ago
Software Engineer, Machine LearningDaangn · SEOUL · 1 day ago
From Seoulstart
Practice interview and workplace Korean with an AI tutor
Interviews, meetings, small talk with coworkers: real conversations with instant feedback, judgment-free, 24/7. Join the waitlist for early access and 14 days of Premium free at launch.
Email only. One message when early access opens, unsubscribe with one click.