--- title: 'Machine Learning Software Engineer (Match Group AI) at Match Group' canonical: 'https://feeny.ai/job/machine-learning-software-engineer-match-group-ai-match-group-seoul-yd0sybgx8aqj' type: 'job' last_seen: '2026-11-03' --- # Machine Learning Software Engineer (Match Group AI) at Match Group - **Company:** Match Group - **Location:** Seoul, South Korea - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-07-27 - **Last confirmed live:** 2026-11-03 - **Apply:** https://jobs.lever.co/matchgroup/cb6122d7-9b0b-4e26-9f58-d6706f5cae66 ## 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](https://career.hyperconnect.com/post/68f1fe3749ec060001acde16/) (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](https://hyperconnect.github.io/) (written in Korean). - [On-device AI Face Verification Pipeline Optimization](https://hyperconnect.github.io/2026/01/23/On-device-Face-Verification-Pipeline-Optimization.html) - [10 Python Performance Optimization Tips for High-Performance ML Backends](https://hyperconnect.github.io/2023/05/30/Python-Performance-Tips.html) ## What You’ll Do - 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. - Improve Recommendation System: Improve the AI-powered personalized recommendation system to help users find better matches on Match Group’s dating apps (serve better retrieval/ranking/utility models, add better features, etc). - Co-Engineering with Brands: Engage in deep technical collaboration with engineering counterparts (Tinder, Hinge, Match, Azar, Pairs, etc.) across various global offices, including Seoul, Palo Alto, LA, Vancouver, Dallas, and Tokyo. ## What We're Looking For - 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): Essential for cross-functional collaboration within the Seoul office. ## Nice to Have - Experience with the full ML lifecycle, from model training to production deployment. - Experience in building AI-based recommendation system. - 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.) Hiring Process - Work type: Full-time - Legal Entity: Hyperconnect / Brand: Match Group AI - Recruitment Process: Resume Review > Live Coding Interview > Technical Interview > Technical Deep-dive & Cultural Alignment Interview > Offer - (* Please note that part of the interview process may be conducted in English) - For the document screening stage, only successful candidates will be individually notified of the results. - Application documents: A detailed, career-based English resume (PDF) in free format - This position is open to candidates seeking to transfer as Alternative Military Service Researchers (전문연구요원). For those under this program, service management will be conducted in accordance with the relevant military service exemption laws. #mg ## #LI-YN1 ## About Match Group ## Company Profile: Match Group Match Group is a publicly traded internet company that owns and operates a portfolio of dating and social connection apps, including Tinder, Hinge, Match.com, OkCupid, Plenty of Fish, Azar, Her, Meetic, and The League. The company focuses on helping people find meaningful relationships across diverse demographics and geographies. ### Status **Public** – Ticker: MTCH (NASDAQ). IPO in 2015. ### Key Facts - **Founded**: 2009 (as a spin-out from IAC) - **Headquarters**: Dallas, Texas, USA (with 20 offices worldwide) - **Employees**: 2,000+ globally (as of 2026) - **CEO**: Spencer Rascoff (as of 2026) - **Chairman**: Thomas J. McInerney ### Market & Financials | Metric | Value | Date | |--------|-------|------| | Market Cap | ~$9.5B | 2026 | | Annual Revenue (FY2025) | $3.5B | 2025 | | Operating Income (FY2025) | $873M | 2025 | | Net Income (FY2025) | $613M | 2025 | | Q2 2026 Revenue | $853M | Quarter ended June 30, 2026 | | Diluted EPS (Q2 2026) | $0.70 | 2026 | *Sources: [LinkedIn](https://www.linkedin.com/company/matchgroup), SEC 10-Q filed Aug 5, 2026.* ### Notable Brands - **Tinder** – flagship dating app - **Hinge** – designed to be deleted (relationship-focused) - **Match.com** – long-standing online dating site - **OkCupid** – algorithm-driven matching - **Plenty of Fish** – free messaging platform - **Azar** – video-first social discovery - **Her** – dating and community for LGBTQ+ women - **Meetic** – European dating leader - **The League** – curated, career-oriented dating ### Competitive Advantages - **Portfolio breadth**: Brands serve different life stages and preferences, creating cross-platform user acquisition and retention. - **Network effects**: Over 500 million matches per month; one-third of marriages in the U.S. begin on a Match Group app. - **Global reach**: Available in 40+ languages across 190+ countries. - **Data & AI**: Deep investment in matching algorithms, safety systems, and personalization. ### Strategic Focus - **Safety & trust**: Strengthening user safety features (e.g., photo verification, background checks) and moderation tools. - **AI-driven innovation**: Leveraging machine learning for better matches, fraud detection, and conversational assistance. - **International expansion**: Growing in Asia (Azar), Latin America, and Europe. - **Monetization**: Subscription tiers (e.g., Tinder Platinum, Hinge Preferred) and a la carte features. ### Why Work Here (from Careers Page) - **Benefits**: Comprehensive medical, dental, vision; mental health support via Modern Health; ClassPass/Active & Fit memberships; 100% employer match on 401(k) up to 10% (capped at $10,000); Employee Stock Purchase Program; flexible PTO; generous parental leave; fertility and adoption benefits; pet insurance; annual training allowance. - **Culture**: “1 Match Group” philosophy – Employee Resource Groups (ERGs) and cross-brand collaboration; emphasis on belonging and giving back through volunteer opportunities. - **Career growth**: Internal mobility across brands and functions; access to Udemy and ongoing learning resources. - **Work environment**: Hybrid/remote flexibility depending on role; global teams spanning 20 offices across 19 countries. ### Sources 1. [Match Group Careers](https://mtch.com/careers/) 2. [Match Group About](https://mtch.com/about/) 3. [Match Group Life at Match Group](https://mtch.com/careers/life-at-match-group/) 4. [Match Group Open Positions (Lever)](https://jobs.lever.co/matchgroup) 5. [Match Group LinkedIn](https://www.linkedin.com/company/matchgroup) ## Other roles at Match Group - [Lead Researcher, Cultural & Consumer Insights](https://feeny.ai/job/lead-researcher-cultural-consumer-insights-match-group-new-york-qhpwgwj8jz4d) — New York, NY - [Senior, Machine Learning Research Scientist (Azar)](https://feeny.ai/job/senior-machine-learning-research-scientist-azar-match-group-seoul-8cnqqhwntwgs) — Seoul, South Korea - [ML Ops Engineer, AI Platform](https://feeny.ai/job/ml-ops-engineer-ai-platform-match-group-tokyo-y1c8hafaeb11) — Tokyo, Japan - [Staff Platform Engineer (Cloud) (Match Group Americas LLC, West Hollywood, CA)](https://feeny.ai/job/staff-platform-engineer-cloud-match-group-americas-llc-west-hollywood-ca-match-4g70nqbk9c7g) — Los Angeles, CA - [Financial Analyst (Data Science & Automation Specialist), Manager (Match Group Americas LLC, Dallas, Texas)](https://feeny.ai/job/financial-analyst-data-science-automation-specialist-manager-match-group-r8fk9n57fdad) — Dallas, TX - [Senior Software Engineer, Backend (Match Group Americas LLC, West Hollywood, CA)](https://feeny.ai/job/senior-software-engineer-backend-match-group-americas-llc-west-hollywood-ca-jyptcy3scgsr) — Los Angeles, CA - [Sr. Manager, Marketing Analytics](https://feeny.ai/job/sr-manager-marketing-analytics-match-group-los-angeles-0jvgcj7jdn95) — Los Angeles, CA - [Senior Research Operations Program Manager](https://feeny.ai/job/senior-research-operations-program-manager-match-group-new-york-hwz11j38089v) — New York, NY - [Sr. Technical Program Manager, Recs, Revenue, and Engagement](https://feeny.ai/job/sr-technical-program-manager-recs-revenue-and-engagement-match-group-los-angeles-24m9erj6425g) — Los Angeles, CA - [Staff Product Manager, Trust & Safety](https://feeny.ai/job/staff-product-manager-trust-safety-match-group-los-angeles-dbjvh4a80swj) — Los Angeles, CA