-Legal Entity: Hyperconnect
-Brand: Tinder
-Affiliation: Tinder ML Seoul Team
Team Introduction
The Tinder ML team drives impact across nearly every core domain of the product — from Recommendations and Trust & Safety to Profile, Growth, and Revenue optimization. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder’s ecosystem.
ML team at Tinder is organized into three groups with different roles:
- Machine Learning Engineers who focus on modeling and algorithmic innovation.
- Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training, serving, and feature management.
- Machine Learning Software Engineers (this role) who bridge the gap between research and production — delivering machine learning models into real-world Tinder features at scale.
This team plays a critical role in taking models from experimentation to production, ensuring they’re robust, performant, and impactful. Our work directly translates into measurable business outcomes — many of our models are already embedded in core Tinder user flows, influencing millions of daily interactions in real time.
This team collaborates closely with ML engineers, ML infra engineers teams across the U.S. and Seoul to design and develop systems optimized for scalability and reliability in high-traffic environments. This role plays a role at the intersection of ML and software engineering — ensuring that machine learning models are effectively integrated into real-world products.
