About this role
Role Overview
The Machine Learning Engineer position at Match Group in Seoul offers a unique opportunity to build scalable artificial intelligence solutions that power a global portfolio of dating applications. This full-time role within the central Match Group AI organization suits professionals eager to tackle complex technical challenges across diverse domains such as recommendation systems, trust and safety, and profile enhancement.
Key Responsibilities
Professionals in this role take full ownership of machine learning models and the specific metrics they optimize. Team members translate broad product goals and raw data into well-defined machine learning problems, construct the models to solve them, and rigorously measure performance impact. Responsibilities include selecting optimization targets that directly drive business results, designing data collection and processing pipelines for training sets, and establishing robust online and offline evaluation criteria.
Requirements
The organization seeks dedicated practitioners who can successfully own the end-to-end model lifecycle, from problem formulation and data preparation to evaluation and deployment. Candidates must be prepared to address evolving technical challenges, ranging from utility modeling and cold start scenarios to advanced generative model evaluation.
Nice to Have
Skills and Tools
About the Company
Match Group operates a global portfolio of prominent connection-building platforms, including Tinder, Hinge, Azar, Pairs, Match, and BLK. The central Match Group AI technology organization drives innovation across these brands, applying cutting-edge artificial intelligence to the dating industry.
How to Apply
Interested candidates should visit the official company careers page at mtch.com to submit an application for this position.
Skills and tech stack
Questions candidates ask
What is the location of the Machine Learning Engineer role?
The position is based in Seoul, South Korea.
Which applications will this AI role impact?
The role impacts the entire Match Group ecosystem, including global platforms like Tinder, Hinge, Azar, Pairs, Match, and BLK.
What technologies and frameworks are associated with the position?
The position involves working with Spark and Large Language Models (LLMs).
What specific domains does the Match Group AI team focus on?
The team focuses on diverse domains including Recommendation, Trust & Safety, and Profile Enhancement.
How can I apply for this job?
You can apply by visiting the official company careers page at mtch.com.