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Machine Learning Software Engineer, Backend (Tinder Seoul)
Our Mission:
As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.
We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
-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.
Salary Range:
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
We don’t just
accept
difference, we
celebrate
it
We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact employeebenefits@matchgroup.com.
We don’t just
accept
difference, we
celebrate
it
We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
What life is like on the
Engineering
team
