Machine Learning Software Engineer (Match Group 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.
• Improve Recommendation System: Improve the AI-powered personalized recommendation system to help users find better matches on Match Group’s dating apps (serve better retrieval/ranking/utility models, add better features, etc).
• 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.

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