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Machine Learning Software Engineer (Match Group AI)

matchgroup · Seoul
Full-timeCoreTechnology$102,000–$138,000/yr
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About the Machine Learning Software Engineer role

Machine Learning Software Engineer positions focus on delivering results in their domain. This page aggregates open Machine Learning Software Engineer roles and what employers typically expect.

Match Group AI Team Introduction Match Group AI (MG AI) is the central tech organization that drives innovation across Match Group’s global portfolio, including Tinder, Hinge, Azar, Pairs, Match, BLK, etc. Our mission is to solve the most complex challenges in online dating (e.g., Recommendation, Trust & Safety, Profile Enhancement) by bridging cutting-edge AI research with excellent software engineering. Unlike brand-specific teams (e.g., Tinder, HYPERCONNECT AI), MG AI team offers the unique opportunity to impact the entire Match Group ecosystem. You won't just build for one app; we aim to develop scalable AI solutions that power Tinder, Hinge, and beyond, defining the technological gold standard for the global dating industry. Detailed article: Introduction to Match Group AI Team (written in Korean) Working as a MLSE at MG AI While ML Engineers focus on modeling, Machine Learning Software Engineers (MLSEs) at MG AI team focus on the critical bridge between research and production. We ensure that state-of-the-art models (including LLMs and Multimodal systems) are integrated into high-traffic environments, serving millions of users in real-time. We also upload a selection of interesting problems solved by our team's engineers to the Hyperconnect Tech blog (written in Korean). On-device AI Face Verification Pipeline Optimization 10 Python Performance Optimization Tips for High-Performance ML Backends

Salary estimate

$102,000 – $138,000/yr
Provided by the employer.

Skills for this role

PythonMachine Learning

Resume tips for Machine Learning Software Engineer applicants

Interview preparation

Prepare concrete STAR-format stories that show Machine Learning Software Engineer outcomes you drove.

Research the employer's product and recent news before the interview.

Be ready to explain how you'd approach a typical Machine Learning Software Engineer problem end to end.

Have thoughtful questions ready about the team, tools and success metrics.

About matchgroup

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