Machine Learning Software Engineer (Match Group AI | 전문연구요원 편입/전직 가능)
Hinge
Software Engineering, Data Science
Seoul, South Korea
Posted on Jan 15, 2026
- Legal Entity: Hyperconnect
- Brand: Match Group AI
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, and Pairs. Our mission is to solve the most complex challenges in online dating (e.g., Recommendation, Trust & Safety, Profile Enhancement) by bridging cutting-edge AI research with excellent software engineering.
Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), MG AI team offers the unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; we aim to develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry.
Working as a MLSE at MG AI
While ML Engineers focus on modeling, Machine Learning Software Engineers (MLSEs) at MG AI team focus on the critical bridge between research and production. We ensure that state-of-the-art models (including LLMs and Multimodal systems) are integrated into high-traffic environments, serving millions of users in real-time.
We also upload a selection of interesting problems solved by our team's engineers to the Hyperconnect Tech blog (written in Korean).
What You’ll Do
- Bridge Research to Production: Operationalize complex ML models into robust, scalable features for global brands like Tinder and Hinge.
- 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.
- On-Device AI Optimization: Design and maintain On-device AI pipelines (e.g., Face Verification, Image Quality Assessment) to deliver lightning-fast, privacy-preserving user experiences while minimizing server-side overhead.
- Drive LLM Innovation: Partner with ML engineers to deploy and optimize Large Language Models (LLMs) for practical, high-impact use cases such as profile assistance.
- Co-Engineering with Brands: Engage in deep technical collaboration with engineering counterparts (Tinder, Hinge, Azar, Pairs, etc.) across various global offices, including Seoul, Tokyo, LA, and Palo Alto.
Required Qualifications
- 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, or Kotlin) 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.
- English communication skills to collaborate with global teams both synchronously and asynchronously.
- Fluent in Korean (Essential for cross-functional collaboration within the Seoul office).
Preferred Qualifications
- Experience with the full ML lifecycle, from model training to production deployment.
- Experience in developing scalable backend servers (handling millions of users).
- Experience in developing and serving ML-driven services using frameworks such as vLLM, Triton, Ray Serve, or Seldon.
- Experience with big data or stream processing frameworks (e.g., Spark, Flink, Kafka) for building robust ML data pipelines.
- Experience with on-device ML technologies (e.g., TFLite, CoreML) and mobile application/SDK development.
- Proficiency in leveraging AI-powered tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate development workflows.
- Experience in collaborating with cross-functional teams and diverse organizations.
- Fluent in English (Proficiency to lead technical discussions and collaborate effectively with global teams).
Hiring Process
- Employment Type: Full-time
- Recruitment Process: Document Screening > Live Coding Interview > Technical Interview > Technical Deep-dive & Cultural Interview > Final Acceptance
- For document screening, only successful applicants will be notified individually.
- Application Documents: Detailed career-based resume (PDF) in free format
제출해 주신 내용 중 허위 사실이 있거나 관련법 상 근로제공에 결격사유가 있는 경우 채용이 취소될 수 있으며, 필요시 사전에 안내된 채용 절차 외에도 추가 전형 및 서류 확인이 진행될 수 있습니다.
국가보훈대상자는 관계 법령에 따라 우대하오니, 해당되시는 분께서는 지원 시 고지해주시고 채용 시 증빙서류를 제출해주시기 바랍니다.
하이퍼커넥트가 채용하는 포지션에 지원하는 경우, 개인정보 처리에 관하여서는 본 개인정보처리방침이 적용됩니다: https://career.hyperconnect.com/privacy
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