Hiring.Camp

Staff Software Engineer, Machine Learning

Matchgroup

·

Today

Location
Seoul, South Korea
Workplace
Hybrid
Type
Full-time
Department
Tinder
Seniority
Senior
Education
PhD
Source
Lever

Description

About the Team

Seoul Studios is Tinder's Seoul-based product studio, chartered to build breakthrough innovations in how people meet and connect. We move fast — incubating new, interactive dating experiences, running rapid experiments, and shipping features that raise engagement and improve reconsideration for members around the world.

Based in Seoul, the pod is a self-contained, cross-functional team of iOS, Android, web, and backend engineers working shoulder to shoulder with Product, Design, and Data, and partnering with teams across Seoul and our U.S. headquarters to take ideas from early experiment to global scale.

Tinder is available in 160+ countries, but the experience is still largely one-size-fits-all — and that's the opportunity. International Growth exists to change it: to build organic growth flywheels through deep localization, in close partnership with Marketing, starting in core APAC cities and turning what works into a repeatable, scalable playbook we can take to new markets.

Based in Seoul, we're a small, autonomous, cross-functional pod — Product, Design, Engineering, and Data working side by side, moving fast and shipping real experiments — in close partnership with regional local teams (Japan, India, and more) and the global organizations at our U.S. headquarters. Design sits at the center of the bet: making Tinder feel like it was built for each market, not merely translated for it.


The Team

The Engineering team is responsible for building innovative features and resilient systems that bring people together. We're always experimenting with new features to engage with our members. Although we are a high-scale tech company, the member-to-engineer ratio is very high—making the level of impact each engineer gets to have at Tinder enormous.

Our ML team is responsible for developing machine learning algorithms and systems for Tinder recommendations. Recommendation algorithms directly determine potential matches on Tinder and optimize the entire ecosystem to drive critical business metrics. You'll have a unique opportunity to join a company with a global footprint while working on a team small enough for you to feel the impact each day.

Where you'll work:

This is a hybrid role and requires in-office collaboration three times per week. Our office is located in Seoul. 

Skills

PythonJavaScalaMachine LearningDeep LearningTensorFlowPyTorchiOSAndroid

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Staff Software Engineer, Machine Learning at Matchgroup | Hiring.Camp