Match Group AI is a central AI organization that contributes to various Match Group products, including Tinder and Hinge, by leveraging AI technology. We identify problems that are difficult to approach with existing technologies but can be solved through machine learning, and we innovate the user experience. We create tools that help users express themselves better and develop features that provide a more satisfying experience in the process of discovering meaningful connections.
The Match Group AI Dev Team is responsible for research and development that applies AI technology to various Match Group services to innovate the user experience. As part of pioneering research, we prototype new hypotheses in product form and apply recommendation models or generative models to actual services based on these. At the same time, we solve various engineering problems encountered while serving models in mobile and cloud environments. Through this, we aim for the AI technology we create to contribute to the growth of dating services like Tinder and Hinge.
Interesting problems solved by ML Software Engineers in the Match Group AI Dev team are selectively uploaded to the Hyperconnect Tech blog.
As an ML Software Engineer at Match Group AI, you will collaborate with Match Group's global teams, including Tinder and Hinge, to lead various projects that innovate user experience in the dating domain using AI technologies (generative AI, on-device AI, recommendation systems). You will proactively lead the entire process from idea conception to prototyping and engineering for actual user delivery, solving problems across job roles and technology stacks.
User interaction and experience based on AI technology are entirely new areas, different from the grammar of existing IT products. Therefore, ML Software Engineers collaborate closely with ML Engineers and Product Managers to realize imagined UX based on their understanding of AI technology and development capabilities. This role is not merely about serving models but involves participating in the entire productization process to ensure that features deliver meaningful value in actual services.
In the prototyping phase, you will cover a wide range of areas from backend APIs to mobile (iOS/Android) and web frontend. Working in a close-knit, purpose-driven organization, you will validate user value through rapid experimentation and iteration, and learn from failures. Even after prototyping, you will collaborate with engineers worldwide, including those at Tinder and Hinge, to stably deliver AI products to global users and perform engineering for efficient and robust productization.
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