포지션 상세
[Match Group AI Team Introduction]
Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group's global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, and more. Match Group aims to spark meaningful connections for everyone, worldwide, and the MG AI team's role is to apply cutting-edge AI to some of the hardest challenges along that journey, across diverse domains (e.g., Recommendation, Trust & Safety, Profile Enhancement).
Unlike brand-specific teams (e.g., Tinder ML, Azar AI), the MG AI team offers a unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; you'll help develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry.
[Working as a Senior MLSE at MG AI]
ML Engineers (MLEs) at MG AI own the model and the metric it optimizes. Machine Learning Software Engineers (MLSEs) own what turns that model into a real product: the services and pipelines that serve millions of users, kept fast, reliable, and cost-efficient.
Our problems change as products and AI change, so we care more about how you get things done than about any one tech stack. We are also an AI-native team: almost all of our work is done with AI agents (e.g., Claude Code, Codex).
Recent examples from the team:
• Trust & Safety: Build AI systems that keep millions of users safe every day.
• AI across brands: Turn proven AI into a shared foundation that every Match Group brand can build on.
• New AI experiences: Prototype AI features that help users show their best selves, and take the ones that work to production.
• Recommendation: Improve the systems that help users find better matches.
• Lead Projects Across Teams: Turn a broad goal into a concrete plan, and keep ML Engineers, PMs, and brand partners across our global offices (Palo Alto, LA, New York, Vancouver, Dallas, Tokyo) aligned. Clear blockers, including ones outside our team.
• Design and Build ML Systems: Design backend services and real-time/batch data pipelines that bring ML models to production, from first prototype to millions of users. Work as a real technical partner to ML Engineers.
• Serve Models Fast and at Low Cost: Serve deep learning models and large language models with low latency and reasonable GPU cost. Improve throughput with batching, caching, and better use of hardware.
• Raise the Bar: Set the example in problem definition, design docs, and AI-driven development, and help other engineers grow.
• Engineering Experience: 5+ years of software engineering (backend, ML systems, data engineering, or similar), including building and running services or data pipelines in production.
• System Design: You can design scalable, reliable systems and clearly explain the trade-offs.
• Hands-on Coding With AI: You write clean, well-tested code (Python preferred), and AI coding agents are part of your daily work.
• High Agency and Grit: You find what needs to be done and drive it to a result fast, without waiting for instructions or cutting corners on quality. When you hit a wall, you find another way.
• Collaborative and Coachable: You understand what others really need and can persuade them. You take feedback well, act on it, and use AI to learn new things quickly.
• Professional Working Proficiency in English and Korean: Able to lead business meetings and take part in complex discussions without help.
Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group's global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, and more. Match Group aims to spark meaningful connections for everyone, worldwide, and the MG AI team's role is to apply cutting-edge AI to some of the hardest challenges along that journey, across diverse domains (e.g., Recommendation, Trust & Safety, Profile Enhancement).
Unlike brand-specific teams (e.g., Tinder ML, Azar AI), the MG AI team offers a unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; you'll help develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry.
[Working as a Senior MLSE at MG AI]
ML Engineers (MLEs) at MG AI own the model and the metric it optimizes. Machine Learning Software Engineers (MLSEs) own what turns that model into a real product: the services and pipelines that serve millions of users, kept fast, reliable, and cost-efficient.
Our problems change as products and AI change, so we care more about how you get things done than about any one tech stack. We are also an AI-native team: almost all of our work is done with AI agents (e.g., Claude Code, Codex).
Recent examples from the team:
• Trust & Safety: Build AI systems that keep millions of users safe every day.
• AI across brands: Turn proven AI into a shared foundation that every Match Group brand can build on.
• New AI experiences: Prototype AI features that help users show their best selves, and take the ones that work to production.
• Recommendation: Improve the systems that help users find better matches.
주요업무
You lead ML projects from a rough goal to a production system that millions of users rely on.• Lead Projects Across Teams: Turn a broad goal into a concrete plan, and keep ML Engineers, PMs, and brand partners across our global offices (Palo Alto, LA, New York, Vancouver, Dallas, Tokyo) aligned. Clear blockers, including ones outside our team.
• Design and Build ML Systems: Design backend services and real-time/batch data pipelines that bring ML models to production, from first prototype to millions of users. Work as a real technical partner to ML Engineers.
• Serve Models Fast and at Low Cost: Serve deep learning models and large language models with low latency and reasonable GPU cost. Improve throughput with batching, caching, and better use of hardware.
• Raise the Bar: Set the example in problem definition, design docs, and AI-driven development, and help other engineers grow.
자격요건
• Project Ownership (most important): A track record of leading a complex project from a rough goal to a production system you could stand behind: defining the problem, choosing the technical direction, and owning the outcome. You can explain the trade-offs behind your technical and product decisions.• Engineering Experience: 5+ years of software engineering (backend, ML systems, data engineering, or similar), including building and running services or data pipelines in production.
• System Design: You can design scalable, reliable systems and clearly explain the trade-offs.
• Hands-on Coding With AI: You write clean, well-tested code (Python preferred), and AI coding agents are part of your daily work.
• High Agency and Grit: You find what needs to be done and drive it to a result fast, without waiting for instructions or cutting corners on quality. When you hit a wall, you find another way.
• Collaborative and Coachable: You understand what others really need and can persuade them. You take feedback well, act on it, and use AI to learn new things quickly.
• Professional Working Proficiency in English and Korean: Able to lead business meetings and take part in complex discussions without help.
