Machine Learning Software Engineer

About the role

The Match Group AI team builds centralized technology for a global portfolio including Tinder, Hinge, Azar, Pairs, Match, and BLK. This role focuses on the engineering infrastructure required to deploy complex models into high-traffic production environments. You will work from the Seoul office to bridge the gap between research and real-world application for millions of users.

Key facts

What you'll do

• Transform research-grade models into scalable features for brands like Tinder and Hinge.
• Architect backend services and distributed systems to manage, scale, and monitor machine learning models.
• Create real-time and batch serving pipelines that prioritize low latency and reliability.
• Collaborate with ML engineers to deploy LLMs for features like profile assistance.
• Coordinate technical efforts with engineering teams in Palo Alto, LA, Vancouver, Dallas, Tokyo, and Seoul.

Requirements

• 2+ years of experience in backend, ML engineering, or data engineering.
• Solid grasp of computer science fundamentals including algorithms, data structures, and distributed system design.
• Proficiency in Python, Go, Java, Kotlin, or C#, with the ability to adapt to new technology stacks.
• Interest in the practical engineering challenges of deploying ML models.
• Ability to use AI-assisted tools like Claude Code, Codex, or Cursor to improve output.
• Professional proficiency in English for business meetings and complex technical discussions.
• Native-level fluency in Korean for cross-functional collaboration and cultural nuance.

Nice to have

• Experience managing the full ML lifecycle from initial training to production.
• Background in building backend servers that support millions of concurrent users.
• Practical use of serving frameworks such as vLLM, Triton, Ray Serve, or Seldon.
• Experience with big data or stream processing tools like Spark, Flink, or Kafka.
• History of working within cross-functional, diverse organizational structures.

Skills & tools

• Python, Go, Java, Kotlin, C#
• vLLM, Triton, Ray Serve, Seldon
• Spark, Flink, Kafka
• Distributed systems
• LLM deployment
• AI-assisted development tools (Claude Code, Codex, Cursor)

Practical notes

• This role requires high-level fluency in both Korean and English to navigate global and local team dynamics.