Senior Machine Learning Engineer (Match Group AI)
About this role
Role Overview
The Senior Machine Learning Engineer role at Match Group in Seoul is a full-time position within the Core department, focusing on scalable AI solutions for global dating brands. This opportunity suits an experienced machine learning professional eager to shape recommendation systems, trust and safety, and profile enhancement across multiple apps.
Key Responsibilities
Professionals in this role own both the predictive models and the specific metrics they optimize. Engineers translate broad business objectives and raw data into solvable machine learning challenges, build the corresponding systems, and rigorously measure performance. Responsibilities include defining optimization targets that align with business results, designing training data collection pipelines, and establishing both online and offline evaluation criteria. Projects span utility modeling, cold start and data scarcity solutions, large language model implementations, agentic systems, and generative model evaluation.
Skills and Tools
About the Company
Match Group operates a diverse global portfolio of connection-building platforms, including Tinder, Hinge, Azar, Pairs, Match, and BLK. The central Match Group AI technology organization drives group-wide innovation, developing solutions that span across different brands to establish technological standards for the worldwide dating industry.
How to Apply
To apply for this position, please visit the official Match Group careers page.
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is located in Seoul, South Korea.
What department does this role belong to?
This role is part of the Core department within Match Group AI.
Which brands benefit from the MG AI team's work?
The team's solutions impact the entire Match Group portfolio, which includes Tinder, Hinge, Azar, Pairs, Match, BLK, and more.
What specific technologies are mentioned for this role?
The listed skills and tools include Spark and Large Language Models (LLMs).
How can I apply for this position?
Candidates should apply directly on the official company careers page.