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, etc. 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.
- Detailed article: Introduction to Match Group AI Team (written in Korean)
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).
- On-device AI Face Verification Pipeline Optimization
- 10 Python Performance Optimization Tips for High-Performance ML Backends
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.
- 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, Palo Alto, LA, Vancouver, Dallas, and Tokyo.
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, 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 and an understanding of cultural nuances.)
- 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 in collaborating with cross-functional teams and diverse organizations.
- Fluent in English (Sophisticated professional interactions with native-level precision and an understanding of cultural nuances.)
Skills Required
- 2+ years of experience in software engineering (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 (Python, Go, Java, Kotlin, C#).
- Polyglot mindset to adapt to new stacks quickly.
- Strong interest in how ML models are built and passion for engineering challenges of deploying them in production.
- Proficiency in leveraging AI-powered developer tools (e.g., Claude Code, Codex, Cursor).
- Professional working proficiency in English.
- Fluent in Korean with native-level precision for cross-functional collaboration (essential).
- Experience with the full ML lifecycle, from model training to production deployment.
- Experience developing scalable backend servers (handling millions of users).
- Experience serving ML-driven services using frameworks such as vLLM, Triton, Ray Serve, or Seldon.
- Experience with big data or stream processing frameworks (Spark, Flink, Kafka) for ML data pipelines.
- Experience collaborating with cross-functional teams and diverse organizations.
- Fluent English (sophisticated professional interactions) as a preferred higher-level skill.
Match Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Match Group and has not been reviewed or approved by Match Group.
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Retirement Support — Employer matching on retirement savings and access to an employee stock purchase program are highlighted as standout elements. Feedback suggests this creates strong long-term financial support as part of total rewards.
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Parental & Family Support — Fully paid parental leave, fertility and family-forming support, and childcare resources are emphasized across materials. Feedback suggests these benefits meaningfully support different family needs.
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Leave & Time Off Breadth — Generous PTO, numerous paid holidays, wellness and volunteer time, and other special leave options are consistently described. Feedback suggests the breadth of time-off options helps sustain work-life balance.
Match Group Insights
What We Do
Match Group is home to some of the world’s most popular dating and social discovery apps, including Tinder, Hinge, Match, and more. Match Group’s mission is to spark meaningful connections for every single person worldwide. Our diverse portfolio of apps enables connections across a diverse range of ages, genders, backgrounds, and dating goals. Our services are available in over 40 languages to users all over the world.
Why Work With Us
Match Group is united by a mission to help people find meaningful connections and fight loneliness. We’re not just building products. We’re creating friendships, marriages, and families around the world. Our culture is fueled by purpose, creativity, and a passion for what we can build together.
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