Machine Learning Software Engineer (Match Group AI)

1 month ago

Seoul, Korea, SouthMid Level

Responsibilities

Design and develop backend services and distributed systems for consuming, scaling, and monitoring machine-learning models.
Build low-latency, highly reliable real-time and batch ML serving pipelines.
Improve personalized recommendation systems through better retrieval, ranking, utility models, and features.
Collaborate technically with engineering teams across Match Group brands and global offices.

At least 2 years of software engineering experience focused on Backend, ML Engineering, or Data Engineering.
Strong knowledge of computer science fundamentals, including data structures, algorithms, operating systems, and distributed system design.
Proficiency in at least one modern programming language such as Python, Go, Java, Kotlin, or C#.
Interest in how ML models are built and in solving the engineering challenges of deploying them in production.
Proficiency with AI-powered productivity tools such as Claude Code, Codex, or Cursor.
Professional working proficiency in English.
Fluency in Korean with native-level precision for sophisticated professional interactions.
Preferred: experience across the ML lifecycle from model training through production deployment.
Preferred: experience building AI-based recommendation systems and scalable backend servers for millions of users.
Preferred: experience serving ML-driven services with vLLM, Triton, Ray Serve, or Seldon.
Preferred: experience with Spark, Flink, or Kafka for big data and stream-processing ML pipelines.
Preferred: experience collaborating with cross-functional teams and diverse organizations.

1,001-5,000 employees