Machine Learning Engineer (Match Group AI)

Match Group
Seoul
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Continuous learning"]

Build and apply state-of-the-art AI/ML for Match Group’s online dating products. Translate business problems into ML tasks, develop and prototype new features, and design model training/learning approaches. Deploy models reliably across mobile and server environments, then monitor and iterate with A/B testing and causal analysis to verify impact. Work closely with backend, frontend, DevOps, data, and PM teams to deliver user-facing AI improvements.

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FursaFursa
Match Group
Match Group
1 day ago

Machine Learning Engineer (Match Group AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and apply state-of-the-art AI/ML for Match Group’s online dating products. Translate business problems into ML tasks, develop and prototype new features, and design model training/learning approaches. Deploy models reliably across mobile and server environments, then monitor and iterate with A/B testing and causal analysis to verify impact. Work closely with backend, frontend, DevOps, data, and PM teams to deliver user-facing AI improvements.
Location: Seoul
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Solve business problems in production Match Group products by redefining them as the right AI/ML problems and applying the best approaches.
  • •Participate in new product and feature development from ideation and prototyping to delivery to real users using AI/ML techniques.
  • •Develop and apply large language models (LLMs) and multimodal models specialized for the dating domain, including agent-like forms in products.
  • •Define product-aligned evaluation metrics and select optimal model training methods to achieve goals.
  • •Validate real impact and iterate using online experiments (A/B testing) and causal analysis; optimize inference considering engineering constraints and infrastructure.

Key Requirements

  • •Strong foundational knowledge of AI/ML and deep expertise in at least one specific domain with relevant project experience.
  • •Ability to use exploratory data analysis (EDA) to find statistical characteristics and patterns and apply them to problem solving.
  • •Proficiency in Python and deep learning frameworks including PyTorch, TensorFlow, and JAX, with the ability to write high-quality code that supports collaboration and maintenance.
  • •Engineering skills to build ML model training pipelines and support deployment processes.
  • •Korean communication skills and ability to understand/write technical documents in English and communicate remotely.
Experience:AI/ML
Skills:CommunicationCollaborationContinuous learning
Languages:KoreanEnglish
Tech Stack:PythonPyTorchTensorFlowJAXSQLA/B testingEDALLMMultimodal modelsOn-device inferenceCausal analysisAWSDGXH100A100

Company Brief

Match Group
Operates a portfolio of consumer dating products and services, including Tinder, Match.com, PlentyOfFish, and Hinge, connecting millions of users globally through mobile and web platforms.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dallas, United States
Founded: 1995
Glassdoor
Glassdoor: 3.8
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