Machine Learning Software Engineer (Match Group AI)

Working as a MLSE at MG AI Build ML Services: Design and develop backend services and distributed systems that enable the seamless consumption, scaling, and monitoring of ML models. Build ML Pipelines: Design and develop ML serving pipelines (real-time and batch) to deliver model outputs with low latency and high reliability.

Co-Engineering with Brands: Engage in deep technical collaboration with engineering counterparts (Tinder, Hinge, Match, Azar, Pairs, etc.) across various global offices, including Seoul, Palo Alto, LA, Vancouver, Dallas, and Tokyo. 2+ years of experience in software engineering, with a focus on Backend, ML Engineering, or Data Engineering.

Strong understanding of CS Fundamentals (data structures, algorithms, operating systems) and distributed system design. Proficiency in at least one modern programming language (e.g., Python, Go, Java, Kotlin, C#) and a "polyglot mindset" to adapt to new stacks quickly. A strong interest in how ML models are built and a passion for solving the engineering challenges of deploying them in the real world.

Proficiency in leveraging AI-powered tools (e.g., Claude Code, Codex, Cursor) to accelerate productivity. Professional working proficiency in English. (Able to conduct business meetings and participate in complex discussions without requiring assistance.) Fluent in Korean (Sophisticated professional interactions with native-level precision): Essential for cross-functional collaboration within the Seoul office.