Machine Learning Engineer II, Infrastructure (머신러닝 엔지니어 II - 인프라)

📋 Description

• Design, build, and maintain scalable ML infra for ad serving and model training globally.
• Develop and optimize data pipelines for deployment and monitoring.
• Collaborate with data scientists, PMs, and engineers on end-to-end ML solutions.
• Implement model versioning, reproducibility, and CI/CD in ML systems.
• Build and operate high-performance ML systems using JAX and Rust for GPUs/TPUs.
• Monitor, troubleshoot, and improve reliability and performance of ML systems.

🎯 Requirements

• 4+ years in ML engineering or ML infrastructure.
• Proficiency in Python, Java, C++, or Rust.
• Hands-on with TF, PyTorch, Keras, or JAX.
• Experience with AWS, GCP, or Azure; Docker/Kubernetes.
• Build and maintain scalable data pipelines (Beam/Spark/Airflow).
• Thrive in ambiguity; solve complex infra challenges.

🎁 Benefits

• Innovative benefits to support you and your family.
• Inclusive culture focused on growth and learning.
• Values-driven, collaborative, one-team environment.
• Equal opportunity employer with privacy protections.