Seoul is one of Tinder's key global hubs — home to cross-functional product pods building for hundreds of millions of members across 160+ countries. Our Seoul-based teams span Product, Design, Engineering (iOS, Android, web, and backend), and Data, working side by side to move fast: incubating new ideas, running rapid experiments, and shipping features that scale from a single market to Tinder's global business.
We partner closely with teams across the region and our U.S. headquarters, taking what works locally — new experiences, growth strategies, product bets — and turning it into playbooks and products that shape how Tinder shows up for members everywhere.
Team Introduction
The Tinder ML team drives impact across nearly every core domain of the product — Recommendations, Trust & Safety, Profile, Chat, 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.
About The Role
We are looking for a Staff-level Machine Learning Engineer who can apply generative AI — large language models and vision-language models — across multiple Tinder product surfaces in service of real user problems. This is not a single-feature role and it is not a research role detached from the product. You will work across multiple product surfaces, decide where generative AI genuinely changes the user outcome and where it does not, and ship the ones that do.
This role owns Tinder's generative AI strategy and technical vision. You will define the multi-year architecture for how LLM-powered capabilities are built here. You will partner directly with the multiple stakeholders, ranging from Product, Design, and Engineering to translate that vision into a roadmap the organization can execute against, and you will be the person the company looks to for a clear-eyed read on what generative AI can and cannot do for dating in the next 1~2 years.
Just as importantly, this role is expected to drive its own project bottom-up. You will drive bottom-up initiatives from a blank page through production and measured impact, acting as the de facto product owner when no one else holds that ground. That demands a holistic view — of Tinder's product and its user base on one side, and of the model, data, evaluation, and serving stack on the other — and the judgment to see where a technical capability and an unmet user need meet.
This is a hybrid role and requires in-office collaboration three times per week. Our office is located in Seoul.
