ML / AI Jobs in South Korea
There are 76 open ML / AI jobs in South Korea on freehire right now. 8 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Most requested skills
- machine-learning 87%
- ai 79%
- python 63%
- llm 53%
- pytorch 43%
- tensorflow 24%
- cloud 22%
- cpp 20%
How the work is done
- Hybrid 14 · 18%
- Onsite 7 · 9%
- Remote 6 · 8%
Visa sponsorship offered in 95% of the 20 postings that state a position on it.
Seniority
- Staff 12
- Senior 9
- Intern 1
- Lead 1
- Principal 1
Who is hiring
- 1000+ employees 19
- 501-1000 employees 15
- 51-200 employees 10
- 11-50 employees 3
ML Engineer (커뮤니티 추천)
Build and improve a community-feed recommendation system for a stock-trading app used by 4 million monthly active users, using Python, PyTorch, and cloud-native serving stacks.
ML Engineer [전문연구요원]
ML Engineer at Toss builds and deploys recommendation, search, and AI models across fintech and ecommerce to optimize product exposure, CTR, and user experience using PyTorch, Spark, and Kubernetes.
ML Engineer [Commerce]
Builds and improves machine-learning models that predict click-through and conversion rates to optimize product recommendations for Toss’s commerce platform using PyTorch, TensorFlow, and LightGBM.
ML Engineer (Infra)
Designs and operates ultra-high-performance AI infrastructure (GPU clusters, InfiniBand, Kubernetes) for Toss Securities' ML services, optimizing resource use and eliminating bottlenecks.
ML Engineer (LLM)
Build, fine-tune, and operate LLM/NLP models to simplify complex financial-securities information into user-friendly services at a Korean fintech company.
ML Engineer (ML/LLM Ops)
Build and operate ML/LLM platforms for a Korean neobank, focusing on stable, scalable, and secure model training, deployment, and serving using tools like MLflow, Kubeflow, Triton, and vLLM.
ML Engineer (Platform)
Builds and operates a machine-learning platform for a securities app, focusing on LLM serving, gateway systems, and MLOps tooling in Kubernetes.
ML Engineer (Product)
Builds and deploys AI/ML systems for banking services like fraud detection, lending models, and LLM-based agents in a high-traffic, regulated environment.
ML Engineer (Data Pipeline)
Designs, builds, and operates scalable data pipelines for AI/ML products in banking, ensuring reliable batch processing, feature engineering, and model inference workflows using distributed systems like Spark and Airflow.
ML Engineer (CSS)
Build ML models for credit risk, loan needs, and card approvals within Toss’s financial marketplace, using Python/SQL and deep learning to tailor user services.
Software Engineer, Machine Learning Engineer (Agentic AI)
Develops autonomous agent systems that solve complex engineering problems via AI-driven exploration, optimization, and self-improvement, integrating LLM post-training and multi-agent workflows for production-grade solutions.
Software Engineer, Machine Learning
Build and improve ML models for personalized recommendations and ad targeting at a Korean local-commerce platform, using deep learning and LLM techniques.
Software Engineer, Machine Learning - 검색 (품질)
Builds and serves ML models to personalize search results for a local-commerce app, using NLP, graph-based ranking, and real-time inference.
Software Engineer, Machine Learning - ML 인프라
Build and maintain ML infrastructure—LLM routers, metadata systems, and model-serving pipelines—so product teams can ship AI features faster and more reliably.
[Ludo Robotics] AI/ML Research Engineer (Robotics) (2년 이상)
Develops advanced AI/ML systems for humanoid robots, bridging research and real-world deployment by enhancing spatial awareness, manipulation, and autonomous control using SLAM, multimodal sensor fusion, and reinforcement learning.
Staff, Machine Learning Engineer - Coupang Play
Design, build, and run scalable machine-learning platforms and production services for OTT content recommendations and personalization at Coupang Play, handling end-to-end ML lifecycle in high-traffic environments.
Staff, Machine Learning Engineer - Coupang Play
Designs, builds, and runs scalable machine-learning platforms that power OTT content recommendations and personalization for Coupang Play, focusing on low-latency, high-throughput inference systems.