Match Group
Dallas, Texas, United States
5,001-10,000 Employees
Machine Learning Software Engineer (Match Group AI)
Seoul, South Korea, KR
Posted on Jul 27, 2026
Job Description
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, 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)
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).
About Match Group
Match Group (NASDAQ: MTCH) is a leading provider of online dating services worldwide. The company, established in 2009, revolutionized the way people connect and find love through its diverse portfolio of popular dating platforms. Match Group's innovative technology and user-friendly interfaces have transformed the dating landscape, making it easier for individuals to meet their perfect match.
With a commitment to continuous growth and expansion, Match Group remains at the forefront of the...
Job overview
Employment type
Full Time
Experience level
Mid Level
Work type
Hybrid
Department
Match Group
Posted
on Jul 27, 2026
Financials
Type
public
Annual Revenue
--
Market Cap
$7.9B+
Membership
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